[wptabs style=”wpui-alma” mode=”vertical”] [wptabtitle] TRIPOD & MOUNT [/wptabtitle]

[wptabcontent]

1.  Setup the scanner tripod.  The tripod doesn’t have to be completely level but you want it to be stable so some degree of leveling is required.

2.   Prep the scanner mount by pulling the black lever out, pushing up the gold pin, and then releasing the lever.  This widens the slot where the scanner mount rests. 

When done correctly, the lever will continue to stick out.

[/wptabcontent]

[wptabtitle] CONNECT SCANNER [/wptabtitle] [wptabcontent]

3.  Place the scanner on the tripod until it locks into place (you will hear a ‘click’ sound when the mount has locked).  Once the scanner has been mounted, ensure that your setup is stable.

4.  Remove the power cable and gray  SCSI cable with the PCMCIA card adapter from the small black case.  Plug the scanner power cable in and connect the SCSI cable.  DO NOT TURN THE SCANNER ON.

5.  Remove the card insert from the PCMCIA slot on the laptop and plug the PCMCIA card into the laptop.

[/wptabcontent]

[wptabtitle] SETUP TURNTABLE [/wptabtitle] [wptabcontent]

6.  Remove the turntable, black power box, and all cables from the black case.  Set the two, black and white calibration charts to the side for now.  Place the turntable approximately 1 meter (or slightly less) from the scanner with the corded end facing towards the front i.e. towards the scanner. The suggested scan range for the tele and mid lenses is .6 to 1 meter.  When you begin scanning, the distance parameter will be displayed in the scan window.  We generally suggest to keep the distance in the range of 700-800 mm to avoid data loss that can occur when an object is either too close or too far from the scanner.

7.  Plug the gray cable from turntable into the black power box; also plug the power cable into the black power box. Next, take the blue serial cable and plug the green end (with 4 prongs) into the COM1 port on the black box.  NOTE:  Theprongs on the green end are directional and will face down.

[/wptabcontent]

[wptabtitle] CONNECT LAPTOP [/wptabtitle] [wptabcontent]

8.  Next, take the other end of the serial cable and plug it into the serial connection on the laptop.  To work with a laptop, you will probably have to remove the black case around the plug end using a small screwdriver.

[/wptabcontent]

[wptabtitle] POWER UP SCANNER [/wptabtitle] [wptabcontent]

9.  Once everything has been plugged in and you have the desired lens in place (see the Changing Lenses section in the final slides of this post if you need to change the scanner lens). Next power on the scanner. It will take a minute to load, when it is complete, it will display the following message on screen “Please open laser barrier and press any key.”

10.  Next, pull the large round cap off of the front of the scanner (bottom) and remove the lens cap (top), and then press any button on the back of the scanner to continue.

[/wptabcontent]

[wptabtitle] OPEN POLYWORKS [/wptabtitle] [wptabcontent]

11.  Next power on the laptop and log on.  Note:  It is important to power the scanner first and then the laptop so the connection is established.

12.  Once everything has been turned on, open Polyworks on the laptop.  Once the Polyworks Workspace Manager opens, open the IMAlign Module.  Next, go to Scanners menu, and select Minolta – VIVID 9i.  In the window that comes up,  you should see a live camera view from the scanner (connection successful – hooray.)  You are now ready to continue to the Konica-Minota Vivid 9i – Scan Settings post.

[/wptabcontent]

[wptabtitle] VIVID 9i LENSES [/wptabtitle] [wptabcontent]

Changing the Lenses on the VIVID 9i

The VIVID 9i comes with a set of three interchangeable lenses: tele, middle, and wide.  The scanner’s camera array is fixed 640X480 pixels.  Each lens offers a different field of view with the tele being the smallest.  The FOV for each lens is provided below.

The tele lens offers the best resolution and is ideal for scanning objects smaller than a baseball or larger objects with a higher resolution.  The mid lens works well for objects that are basketball size and was the lens predominantly used for scanning pottery vessels in the Virtual Hampson Museum project.  CAST researchers generally do not recommend use of the wide angle lens.

[/wptabcontent]

[wptabtitle] CHANGING LENSES I [/wptabtitle] [wptabcontent]

A.  To change the lens on the VIVID 9i, first make sure the scanner is turned off.

B.  Next remove the lens that you wish to use from the lens box and its plastic bag.

C.  Next remove the lens protector and unscrew the lens that is currently on the scanner.  IMMEDIATELY place the lens cap (located on the lens box) on the back of the lens.

NOTE: Every lens should always have 2 lens caps (one of the front and back of the lens) when the lens is not in use or is being stored.

[/wptabcontent]

[wptabtitle] CHANGING LENSES II [/wptabtitle] [wptabcontent]

D.  Remove the back lens cap from the desired lens and screw the new lens into the scanner by first lining up the red dots found on both the lens and the scanner.

E. Replace the black lens protector on the scanner.  Replace both lens caps on the newly removed lens, place in a plastic bag, and store in the lens box.

F.  You are ready to begin scanning.  Power on the scanner and continue with Step 9 on the ‘Power up Scanner’ Slide  above.

[/wptabcontent]

[wptabtitle] CONTINUE TO… [/wptabtitle] [wptabcontent]

Continue to Konica-Minota Vivid 9i – Scan Settings.

[/wptabcontent]

[/wptabs]

[wptabs style=”wpui-alma” mode=”vertical”] [wptabtitle] POLYWORKS PIFEDIT [/wptabtitle]

[wptabcontent]

Introducing Polyworks PIFEdit:

PIFEdit is a data viewing and editing software available in the PolyWorks suite.  It is used to clean scan data of unwanted data/points before importing the data into IMAlign.

* Note:  You have to have a full license of Polyworks (w/dongle)  to be able to edit and save data out of PIFEdit (otherwise it functions only as a viewer.

Basic Navigation:

Upon opening the PIF file in PIF Edit, view the scan using the appropriate mouse buttons:

Left Button:  Rotates the scan

Middle Button: Translates the scan

Right Button: Zooms in and out on the scan

Get accustomed to the use and “feel” of these buttons because they are used in all of the PolyWorks modules.

[/wptabcontent]

[wptabtitle] VIEW DATA [/wptabtitle] [wptabcontent]

View the data from every angel to identify which data you want to keep and which data can be removed.

In this “un-cleaned” data the trees and people, in this case ROTC soldiers, are seen

In the image above, a group of ROTC soldiers were included in the scan.  Since the focus of the scan is the building, the scan data of the soldiers, the trees, and the ground in front of the building will all be removed.

Notice how the trees and the soldiers (objects in the forefront) cause shadows or holes in the scan data of the structure (object in the rear).  This can be remedied by simply acquiring another scan of the same area from another location if access and time permit another scan.

[/wptabcontent]

[wptabtitle] SELECT UNWANTED DATA [/wptabtitle] [wptabcontent]

To remove the unwanted scan data, press the space bar.  This activates the Selection dialog box.

Hold down the Shift and Ctrl keys and use the middle mouse button to make your selection.

Shift:  Enables Volumetric Selection – otherwise it is in Surface Selection mode which is only useful with polygon meshes

Ctrl:  Enables Polygonal Selection – otherwise in Freeform Selection mode

[/wptabcontent]

[wptabtitle] CONFIRM SELECTION & DELETE DATA [/wptabtitle] [wptabcontent]

Because you have to perform a volumetric selection in PIFEdit (aka it selects everything in the selection window), it is always good to double check the integrity of your selection before you delete any data.

Once you have done so you can go ahead and delete the unwanted data points from the scan.  Repeat this operation as many times as needed.

The red indicates data that has been selected. On the left we view the data from above, on the right we view the same selected data in a perspective view

When finished, go to File – Save As – save as name_cln.pf.

Note: Our naming convention is to tack a ‘cln’ onto the scan name or to put the cleaned data into a ‘clean’ subfolder.  As a rule of thumb – never overwrite the original data.

[/wptabcontent]

[wptabtitle] CONTINUE TO… [/wptabtitle] [wptabcontent]

For further processing in the Polyworks Suite, continue on to Importing Data into IMAlign.

[wptabcontent]
[/wptabs]

[wptabs style=”wpui-alma” mode=”vertical”] [wptabtitle] THE OPTECH PARSER[/wptabtitle]

[wptabcontent]

Introducing the Optech ILRIS-3D Parser:

The Parser program processes raw scanner data in a variety of output formats recognized by PolyWorks, GIS softwares, and other 3D modeling suites.

Using ILRIS Parser

Open the Parser program by double-clicking on the icon on your desktop.  The Parser window displays as follows:

The Optech Parser window

[/wptabcontent]

[wptabtitle] ADD DATA[/wptabtitle] [wptabcontent]

Add your data

Add your .i3d file by clicking the “Add” button.

Browse to the scan file location and select the desired scan.

Adding data in Optech Parser

The .i3d file is added to the file window in the Parser.  A photograph of the scanned area acquired by the laser scanner is also viewable in the Parser window.

[/wptabcontent]

[wptabtitle] OUTPUT FILES & GENERAL SETTINGS [/wptabtitle] [wptabcontent]

Next, specify your desired output file type. For more information on output file types and their respective settings, please refer to the ILRIS-3D Operation Manual (Section 9).  The PIF file type is the default output file type and is a PolyWorks specific format for use in the Polyworks Suite.  The PIF output options are discussed in the following slides.

Click on the “Settings” button.

General settings in Optech Parser

In the Output File Name textbox, specify the name and location for the output PIF file.

The Reduction option allows you to subsample your data (recommended subsampling: 1).

Filtering – You also have the option to “filter” your data by specifying a Range Gate and/or an Intensity gate.

The Range Gate option specifies a desired data range based on distance from the scanner (in meters)

The Intensity Gate option specifies a desired data range based on the intensity readings returned from the scanner.  While it is good practice to range grade your data to remove outliers etc…, it is not required because the data can also edited in the PIFEdit software.

[/wptabcontent]

[wptabtitle] MORE GENERAL & ADVANCED SETTINGS [/wptabtitle] [wptabcontent]

General Settings:

It is recommended to leave the Generate Bitmap, Generate Log, and Output pf Intensity options checked.

Generate Bitmap creates a separate .bmp file of the scan photograph

Generate Log creates a report containing the scan statistics

Output pf Intensity adds the intensity values returned from the scanner to the PIF file.

General Details and Advanced Settings:

For more on these options and those available in the Advanced Settings tab, please refer to the ILRIS-3D Operation Manual (Section 9).

[/wptabcontent]

[wptabtitle] PARSE DATA [/wptabtitle] [wptabcontent]

When the desired options have been selected in the “Settings” menus, click “Ok,” and “Parse” the data.  A progress report is displayed to show the steps and completion of the parsing process

The progress window shows as the data is being parsed

[/wptabcontent]

[wptabtitle] CONFIRM PARSING IS SUCCESSFUL[/wptabtitle] [wptabcontent]

Note that a green check appears beside the file name in the file window indicating that that the file has been parsed.

To view the resulting PIF file, click the “View output” button.

Confirm parsing was successful and view output file

[/wptabcontent]

[wptabtitle] VIEW PARSED DATA [/wptabtitle] [wptabcontent]

Once you click ‘View Output’ in ILRIS Parser, the PIF file is opened in the PIFEdit viewing window

The parsed file can now be viewed in PIFEdit

[/wptabcontent]

[wptabtitle] FILES CREATED IN PARSING [/wptabtitle] [wptabcontent]

Note that a PIF file (.pf), a report log (.txt) and a bitmap of the scan photo (.bmp) are created in the parsing process.

The files created in the parsing process

[/wptabcontent]

[wptabtitle] CONTINUE TO…[/wptabtitle]

[wptabcontent] Continue to Polyworks PIFEdit: Cleaning Point Cloud Data[/wptabcontent]
[/wptabs]

As objects become more complex, using layers (Shift + L) becomes essential to organizing and controlling the model space.

Once a point cloud data set has been properly aligned with overlap reduction, it is ready for meshing. IMMerge is the module in Polyworks that creates a mesh from an IMAlign project. Note – Only IMAlign projects can be meshed. See below for specifics for IMMerge operations.

[wptabs style=”wpui-alma” mode=”vertical”] [wptabtitle] BASIC SETTINGS[/wptabtitle] [wptabcontent]

In the Polyworks Workspace Manager, select the IMAlign project that you want to mesh and then select Create a Polygonal Model in the Workspace Manager.

IMMerge – Basic Settings

Values Carried over from IMAlign Project (usually do not change)

Max Distance: The maximum distance between two overlapping scans
Surface Sampling Step: Average of interpolation step across scans; the resulting mesh
density
Standard Deviation: Approximate alignment error (In meters for Optech)

Smoothing Level: Can be modified. It is generally recommended to have Low to Med level of
smoothing.

[/wptabcontent]

[wptabtitle] ADVANCED SETTINGS[/wptabtitle] [wptabcontent]

Advanced Settings Explained – (usually do not change)

Reduction Tolerance:
– Compresses the mesh by reducing the number of triangles (without loosing definition)
– Typical Reduction Tolerance = 1/5 * max standard deviation

Smoothing Radius
– Radius of the spherical filter used to smooth the resultant mesh.
– The greater the smoothing radius, the more the mesh is smoothed.
– Typical Smoothing Radius: 2-4 times the surface sampling step

Smoothing Tolerance
– Typical Smoothing Tolerance: 3 x’s max standard deviation

Common Error returned from IMMerge processing of very large datasets
Error 1413: Block Size too small or Out of memory

– Actually not a function of block size, so DO NOT increase block size. Recommended block size and compaction is 200 and 20, respectively. Instead, change the subdivision settings. Change the “# of triangles per job” to “# of Merging jobs” and where it says default, set a value. Start at 1000 then double if the operation still does not merge. If it does not merge in 10000 jobs or less, then the dataset is probably too large.

– If the dataset will not merge, split the IMAlign project into two pieces and mesh the two pieces separately.

[/wptabcontent] [/wptabs]

As objects become more complex, using layers (Shift + L) becomes essential to organizing and controlling the model space.

[wptabs style=”wpui-alma” mode=”vertical”] [wptabtitle] IMAlign INTIAL SETUP[/wptabtitle] [wptabcontent]

Figure 1: Set IMAlign options as suggested below prior to importing any data

IMAlign is the Polyworks module that allows you to import and align scan data. When you first open IMAlign, it’s good to define a couple of parameters. Before you import any data, open IMAlign options and change the Digitizer from Generic Close Range to Optech ILRIS 3D and change the working units to meters. Also, turn off the Interactive Mode Wizard and the Unknown Units Wizard. Also, under the Alignment section change Subsampling from 1/4 to 1/1 and under the Images section set Max Angle to 85 (see illustration below under Section 4). Next, go to Tools – Save Configuration (to save the new settings).[/wptabcontent]

[wptabtitle] DISPLAY PARAMETERS[/wptabtitle] [wptabcontent]

Figure 2: The eye icon controls how objects are displayed in the scene

Object color Mode Point or Default
Default Static Display
Drawing Type: Smooth or Flat
Subsampling: 1/1

Default Dynamic Display (Recommended parameters bolded/italicized)
Drawing Type: Point
Subsampling: 1/16 or 1/64[/wptabcontent]

[wptabtitle] IMPORTING OPTECH DATA[/wptabtitle] [wptabcontent]

Importing Optech Data (.pf format)

1. Go to File – Import Images – 3D Digitized Data Sets. Under Spherical Grids, choose Optech PIF. Next, navigate to the file, and select Open. Typically, you will not subsample the data set (choose 1/1), however if file size and/or memory become an issue, the only place to subsample or decimate a data set in IMAlign is upon import.

The following is a basic description of the import parameters and additional guidance for modifying parameters.

Note: Always hit the Reset button before adjusting any import parameters. Previous import settings are retained.

When Optech data is imported into IMAlign, the data is automatically “gridded” or meshed. For spherical datasets like Optech data, IMAlign does this by subdividing the data by angle and range and then assigning a plane to each data section and then meshing that individual section. Therefore subdividing Optech data by both angle and range (or distance) is recommended. The smaller the angle, the more subscans created. A Subdivision Angle of 20 is generally recommended, however you might want to lower this value to 10 if there is a lot of ground/floor data in a scan.

Figure 3: Interface for importing Optech data into IMAlign[/wptabcontent]

[wptabtitle] INTERPOLATION OPTIONS – FOCUS[/wptabtitle] [wptabcontent]Interpolation Options

Focus Distance: The minimum distance, or the point at which data is first recorded. – Typically leave as is.
Step at Focus: The data resolution or point spacing at the focus distance (in meters)
Max Angle: The angle from normal for which values are accepted for a scan.
A value of 75 – 85 is good for the Optech.

Figure 4: Graphic showing import parameters including the focus distance, number of ranges, and the minimum and maximum distances.[/wptabcontent]

[wptabtitle] INTERPOLATION OPTIONS – MAX EDGE LENGTH[/wptabtitle] [wptabcontent]Max Edge Length (Important): The distance at which points are connected or meshed. Typically 10 x’s or lessthe step or point spacing. A value that is too large can erroneously connect points that should not be connected (Figure 5, left) . Again, this value should be 10’s the Step or less. Decreasing will result in less data being imported (Figure 5, Right).

Figure 5: Example of different max edge length values and the effect of these balues on data import[/wptabcontent]

[wptabtitle] INTERPOLATION OPTIONS – NUMBER OF RANGES[/wptabtitle] [wptabcontent]Number of Ranges: Self-Explanatory. Adjust as needed. Distance between ranges is based on the focus distance.
Min Step: The smallest acceptable step value (typically do not change).

For each range extending out from the scanner, the interpolation step and max edge length double.

Remember to always hit the Reset button when importing a new scan. Most of the time, the default import values work well. Occasionally, the max angle or max edge length will need to be adjusted. Once imported, a scan is now comprised as a collection or group of sub scans or images. Note the scans now have “surface information” and are no longer point clouds.[/wptabcontent]

[wptabtitle] CONTINUE TO…[/wptabtitle] [wptabcontent]

Continue to Registering Scans in Polyworks V11 IMAlign

[/wptabcontent] [/wptabs]

As objects become more complex, using layers (Shift + L) becomes essential to organizing and controlling the model space.

[wptabs style=”wpui-alma” mode=”vertical”] [wptabtitle] REGISTRATION – 1[/wptabtitle] [wptabcontent]

1. Import all scans into IMAlign. Lock (Ctrl + Shft + L or right click – Edit – Lock) the first scan in the table of contents (TOC).
Note: To hide a scan’s digitizer position, hit the plus next to the scan name in the table of contents, plus next to reference points, then middle click (to hide) the Digitizer Position.

2. Next select a scan in the TOC to align to the first scan and select the Split View Alignment iconto enter Local Mode.

Note: The two scans have to have areas of overlap in order to be able to align them together. Also, you can only enter Split View Mode when the unlocked scan is selected.

3. Rotate both views so that they are oriented correctly with respect to one another (see Figure 1 below). This is important for identifying common points between the two scans.

[/wptabcontent]

[wptabtitle] REGISTRATION – 2[/wptabtitle] [wptabcontent]

4. Select N Point Pairs Alignment .

5. Match at least 3 pairs of corresponding points between the two views (no more than 5 or so is necessary). Points should be across the entire scan (not concentrated in one area) and multi-planar. Right click when finished.

Figure 1: Identifying common tie points between two scans

6. Next, run a best fit alignment between the scans. This is an iterative alignment that fine tunes the NtoN alignment. Subsampling should be 1/1; optionally you can choose to Show slipping color map. In the statistics tab, the Standard Deviation reflects the accuracy of the alignment. Ideally (though it doesn’t always happen) you want the standard deviation to be less than the accuracy of the scanner. For the Optech, this is approximately 1 centimeter (.01). For the Minolta VIVID 9i, this varies based on the lense that you use (tele = 200 microns (.2mm), mid = 400 microns (.4mm). If the best fit alignment is taking too long to run but the alignment is close enough (the standard deviation is less than or equal to the accuracy of the digitizer and the Convergence value and mean are very close to 0), then the alignment can be stopped. This accepts the best fit alignment computed up to that point.

[/wptabcontent]

[wptabtitle] REGISTRATION – 3[/wptabtitle] [wptabcontent]

7. Once the best fit alignment is complete, lock the second scan. Select the next scan to align and repeat Steps 2-6.

8. Once all of the data has been aligned, compute one final Global or Best Fit Alignment. This adjusts the alignment across the entire dataset. To do this, select a single scan that has good coverage across the entire dataset and lock it then unlock all remaining scans. Run the Best Fit Alignment one final time. Once all alignments have been completed, save your IMAlign Project. A recommended naming convention is project_name_GR (GR = Global Registration.

TIP: Scans can also be grouped together allowing you to hide, select and perform numerous operations on a group of scans at the same time. [/wptabcontent]

[wptabtitle] OVERLAP REDUCTION – 1[/wptabtitle] [wptabcontent]

Overlap reduction is performed to remove the overlapping or redundant data between scans. This is recommended prior to meshing and/or to reduce the size of the dataset. Make sure and save a copy of your dataset prior to overlap reduction. Next, select Image – Reduce Overlap.

The Overlap Reduction parameters are discussed more below:

Max Distance: Determined by scanner
Max # of overlapping images: Recommended 5
Number of overlap layers: Recommended 3
Best Data (Std) –Default (when all scans are the same resolution) – typically use this option
Best Data (Extreme) – Used when you have scans of multiple resolutions.
This ensures that high resolution data will not be replaced by overlapping
lower resolution data. Select all high resolution scans in TOC and then run operation.
Suggested Setting: Best Data Standard

[/wptabcontent]

[wptabtitle] OVERLAP REDUCTION – 2[/wptabtitle] [wptabcontent]

Data Quality:
Viewing Angle: Accepts points that are orthogonal to the scan direction (directly in front of the scanner) rather than those that are more oblique.

Point-to-Digitizer Distance: Accepts points that are closer to the scanner rather than those that are further away.
Suggested Setting: Viewing Angle

Sometimes manual overlap reduction is required in addition to the automatic reduction in order to visually clean-up the data. The best way to go about this is by systematically selecting using the Select scan on Screen Tool and toggling scans (using the Hide and Keep commands) and deleting the redundant data. This is done primarily for visual purposes.

Once overlap reduction is completed on your project, save your project with a different file name. A recommended naming convention is project_name_GRE (GRE = Global Registration with additional edits/overlap reduction). It is best to save projects with different names at key processing steps, in case one wants to return to a specific processing point.

For more on meshing, see Meshing using Polyworks IMMerge V11.

[/wptabcontent]

[wptabtitle] ALIGNING MULTIPLE IMAlign PROJECTS[/wptabtitle] [wptabcontent]

Aligning Multiple IMAlign Projects

Multiple IMAlign projects can also be aligned to one another. This allows for users to work on different sections of the site and then merge those sections together into one project. A global alignment and overlap reduction should be completed on each individual project before the projects are brought together. When an IMAlign project is imported to an existing project, the screen goes straight into a split view alignment. Align the 2 datasets using N Point pairs and then compute a Best Fit Alignment. Repeat for multiple projects. Multiple datasets can also be aligned in IMInspect if necessary.

[/wptabcontent] [/wptabs]

Using the Optech ILRIS-3D laser scanner and the Konica-Minolta VIVID 9i, data was collected in 2007 as part of the Ostia Antica 3D Scanning Project.

Several data sets from the Ostia Antica survey are available in these posts as point clouds in the Polyworks PWK format (as IMInspect projects).

For the PWK formats we recommend using the free Polyworks | Viewer (previously the Polyworks IM Viewer), and for the obj files we recommend Rapidform Geomagic Verify Viewer (previously the Rapidform Explorer).

To open a PWZIP file – click on the .pwzip link below and save the file; if you are using Mozilla Firefox, right click on the link and save the file.  Open IMView, left click on “File” at the top of the screen.  Select “Open project”, then “Add Workspace” and browse to the .pwzip’s saved location.  Next, choose a local location to extract the files.  The files will unzip and the project will appear in IMView’s workspace file structure.  Left click on the project and open.

Capitoline_Temple.pwzip (53.8 mb)
Collected 2007

Please note. This data is distributed under a Creative Commons 3.0 License  (seehttp://creativecommons.org/licenses/by-nc/3.0/ for the full license). You are free to share and remix these data under the condition that you include attribution as provided here.  You may not use the data or products in a commercial purpose without additional approvals. Please attach the following credit to all data and products developed there from:

Credit:

University of Arkansas, Soprintendenza per i Beni Arcaelogici di Ostia, Leica Geosystems, National Science Foundation, Center for Advanced Spatial Technologies

Longer Version:

This project was made possible through funding from the University of Arkansas Honors College and with equipment provided through Leica Geosystems Chair in Geospatial Imaging Funding and National Science Foundation Grant BCS 0321286.  Additional assistance was provided by Soprintendenza per i Beni Arcaelogici di Ostia including Angelo Pellegrino, Direttore degli Scavi di Ostia Antica.  The project was coordinated by the University of Arkansas:  Honors College –  Dean Robert McMath; Classical Studies Program, Department of Foreign Languages – Dr. David Fredrick; School of Architecture – Tim DeNoble; Rome Center for Architecture and Humanities – Prof. Davide Vitali, Director, and Prof. Francesco Bedeschi.  Further coordination was provided by the Center for Advanced Spatial Technologies (CAST), University of Arkansas – Director W. Fredrick Limp, Prof. Jackson Cothren, and the data acquisition and processing team including Adam Barnes, Christopher Goodmaster, Malcolm Williamson, and Caitlin Stevens.  An undergraduate, honors colloquium, Visualizing the Roman City, worked more extensively with the data.  A paper was presented on the class at the April 2008 Computer Applications in Archaeology Conference in Budapest titled Visualizing the Roman City: Viewing the past through multidisciplinary eyes.

Using the Optech ILRIS-3D laser scanner and the Konica-Minolta VIVID 9i, data was collected in 2007 as part of the Ostia Antica 3D Scanning Project.

Several data sets from the Ostia Antica survey are available in these posts as point clouds in the Polyworks PWK format (as IMInspect projects).

For the PWK formats we recommend using the free Polyworks | Viewer (previously the Polyworks IM Viewer), and for the obj files we recommend Rapidform Geomagic Verify Viewer (previously the Rapidform Explorer).

To open a PWZIP file – click on the .pwzip link below and save the file; if you are using Mozilla Firefox, right click on the link and save the file.  Open IMView, left click on “File” at the top of the screen.  Select “Open project”, then “Add Workspace” and browse to the .pwzip’s saved location.  Next, choose a local location to extract the files.  The files will unzip and the project will appear in IMView’s workspace file structure.  Left click on the project and open.

Bath_of_Seven_Sages_Interior.pwzip (450 mb)
Collected 2007
Bath_of_Seven_Sages_Inteior.pwzip combines scans of the interior of one section of the House of Charioteers Complex.

Please note. This data is distributed under a Creative Commons 3.0 License  (seehttp://creativecommons.org/licenses/by-nc/3.0/ for the full license). You are free to share and remix these data under the condition that you include attribution as provided here.  You may not use the data or products in a commercial purpose without additional approvals. Please attach the following credit to all data and products developed there from:

Credit:

University of Arkansas, Soprintendenza per i Beni Arcaelogici di Ostia, Leica Geosystems, National Science Foundation, Center for Advanced Spatial Technologies

Longer Version:

This project was made possible through funding from the University of Arkansas Honors College and with equipment provided through Leica Geosystems Chair in Geospatial Imaging Funding and National Science Foundation Grant BCS 0321286.  Additional assistance was provided by Soprintendenza per i Beni Arcaelogici di Ostia including Angelo Pellegrino, Direttore degli Scavi di Ostia Antica.  The project was coordinated by the University of Arkansas:  Honors College –  Dean Robert McMath; Classical Studies Program, Department of Foreign Languages – Dr. David Fredrick; School of Architecture – Tim DeNoble; Rome Center for Architecture and Humanities – Prof. Davide Vitali, Director, and Prof. Francesco Bedeschi.  Further coordination was provided by the Center for Advanced Spatial Technologies (CAST), University of Arkansas – Director W. Fredrick Limp, Prof. Jackson Cothren, and the data acquisition and processing team including Adam Barnes, Christopher Goodmaster, Malcolm Williamson, and Caitlin Stevens.  An undergraduate, honors colloquium, Visualizing the Roman City, worked more extensively with the data.  A paper was presented on the class at the April 2008 Computer Applications in Archaeology Conference in Budapest titled Visualizing the Roman City: Viewing the past through multidisciplinary eyes.

Using the Optech ILRIS-3D laser scanner and the Konica-Minolta VIVID 9i, data was collected in 2007 as part of the Ostia Antica 3D Scanning Project.

Several data sets from the Ostia Antica survey are available in these posts as point clouds in the Polyworks PWK format (as IMInspect projects).

For the PWK formats we recommend using the free Polyworks | Viewer (previously the Polyworks IM Viewer), and for the obj files we recommend Rapidform Geomagic Verify Viewer (previously the Rapidform Explorer).

To open a PWZIP file – click on the .pwzip link below and save the file; if you are using Mozilla Firefox, right click on the link and save the file.  Open IMView, left click on “File” at the top of the screen.  Select “Open project”, then “Add Workspace” and browse to the .pwzip’s saved location.  Next, choose a local location to extract the files.  The files will unzip and the project will appear in IMView’s workspace file structure.  Left click on the project and open.

Charioteer_Exterior.pwzip (152 mb)
Collected 2007; aerial perspective view
Charioteer_Exterior.pwzip combines scans taken from the exterior of the House of the Charioteers and Baths of the Seven Sages.  This structure was very dense and complex, resulting in the interior and exterior being separated for processing.

Please note. This data is distributed under a Creative Commons 3.0 License  (seehttp://creativecommons.org/licenses/by-nc/3.0/ for the full license). You are free to share and remix these data under the condition that you include attribution as provided here.  You may not use the data or products in a commercial purpose without additional approvals. Please attach the following credit to all data and products developed there from:

Credit:

University of Arkansas, Soprintendenza per i Beni Arcaelogici di Ostia, Leica Geosystems, National Science Foundation, Center for Advanced Spatial Technologies

Longer Version:

This project was made possible through funding from the University of Arkansas Honors College and with equipment provided through Leica Geosystems Chair in Geospatial Imaging Funding and National Science Foundation Grant BCS 0321286.  Additional assistance was provided by Soprintendenza per i Beni Arcaelogici di Ostia including Angelo Pellegrino, Direttore degli Scavi di Ostia Antica.  The project was coordinated by the University of Arkansas:  Honors College –  Dean Robert McMath; Classical Studies Program, Department of Foreign Languages – Dr. David Fredrick; School of Architecture – Tim DeNoble; Rome Center for Architecture and Humanities – Prof. Davide Vitali, Director, and Prof. Francesco Bedeschi.  Further coordination was provided by the Center for Advanced Spatial Technologies (CAST), University of Arkansas – Director W. Fredrick Limp, Prof. Jackson Cothren, and the data acquisition and processing team including Adam Barnes, Christopher Goodmaster, Malcolm Williamson, and Caitlin Stevens.  An undergraduate, honors colloquium, Visualizing the Roman City, worked more extensively with the data.  A paper was presented on the class at the April 2008 Computer Applications in Archaeology Conference in Budapest titled Visualizing the Roman City: Viewing the past through multidisciplinary eyes.

Using the Optech ILRIS-3D laser scanner and the Konica-Minolta VIVID 9i, data was collected in 2007 as part of the Ostia Antica 3D Scanning Project.

Several data sets from the Ostia Antica survey are available in these posts as point clouds in the Polyworks PWK format (as IMInspect projects).

For the PWK formats we recommend using the free Polyworks | Viewer (previously the Polyworks IM Viewer), and for the obj files we recommend Rapidform Geomagic Verify Viewer (previously the Rapidform Explorer).

To open a PWZIP file – click on the .pwzip link below and save the file; if you are using Mozilla Firefox, right click on the link and save the file.  Open IMView, left click on “File” at the top of the screen.  Select “Open project”, then “Add Workspace” and browse to the .pwzip’s saved location.  Next, choose a local location to extract the files.  The files will unzip and the project will appear in IMView’s workspace file structure.  Left click on the project and open.

Casa_Giordino.pwzip (568 mb)
Collected 2007; top view

Please note. This data is distributed under a Creative Commons 3.0 License  (seehttp://creativecommons.org/licenses/by-nc/3.0/ for the full license). You are free to share and remix these data under the condition that you include attribution as provided here.  You may not use the data or products in a commercial purpose without additional approvals. Please attach the following credit to all data and products developed there from:

Credit:

University of Arkansas, Soprintendenza per i Beni Arcaelogici di Ostia, Leica Geosystems, National Science Foundation, Center for Advanced Spatial Technologies

Longer Version:

This project was made possible through funding from the University of Arkansas Honors College and with equipment provided through Leica Geosystems Chair in Geospatial Imaging Funding and National Science Foundation Grant BCS 0321286.  Additional assistance was provided by Soprintendenza per i Beni Arcaelogici di Ostia including Angelo Pellegrino, Direttore degli Scavi di Ostia Antica.  The project was coordinated by the University of Arkansas:  Honors College –  Dean Robert McMath; Classical Studies Program, Department of Foreign Languages – Dr. David Fredrick; School of Architecture – Tim DeNoble; Rome Center for Architecture and Humanities – Prof. Davide Vitali, Director, and Prof. Francesco Bedeschi.  Further coordination was provided by the Center for Advanced Spatial Technologies (CAST), University of Arkansas – Director W. Fredrick Limp, Prof. Jackson Cothren, and the data acquisition and processing team including Adam Barnes, Christopher Goodmaster, Malcolm Williamson, and Caitlin Stevens.  An undergraduate, honors colloquium, Visualizing the Roman City, worked more extensively with the data.  A paper was presented on the class at the April 2008 Computer Applications in Archaeology Conference in Budapest titled Visualizing the Roman City: Viewing the past through multidisciplinary eyes.