project ideas

2/7/2022

    1. Poverty Point 3D Scanning Assister - tool to help align and merge multiple 3D scans of the same object together (from nextengine 3d scanner for example). Helps automatically clean up artifacts in object scans and identify matching points between scans. Collaboration room to view model scans to study and analyze different features of poverty point objects. Organize the models in a gallery style that allows users to isolate and scale models.

      • Things to do:

        1. Get raw scans data of objects (may need to email Jason to get these, or find out if Brown has 3D scanners I can use)

        2. Compare software that allows you to edit/mask imported 3D scans of Poverty Point objects/historical artifacts (polygon meshes) in VR ex. Verto Studio VR, Kodon, Shapelab

        3. Apply feature matching techniques for 3d objects - see what exists, possibly display in unity? minVR?

        4. Create interactive space to display models - gallery type with option to bring up map to view location where artifact was found

        5. Photon?

      • a Milestone: A cleaned up poverty point scan can be displayed in VR

      • Class Activity: view scalable objects in gallery/3D space/interactive map?; class tutorial on how to mask a given 3D PPO scan in the software I find most useful for the task

      • Potential Deliverables: Comparison of VR 3D model editing software (software cost, learning curve, file type support), new pages for VR modeling software, tutorials

    2. Visualizing different fabric flow on various mannequins/model movements

    3. Point cloud viewer of 3D object reconstruction estimates from camera calibration methods on multi-view images (photogrammetry) that allows users to identify outlying points and collaboratively compare outputs (side-by-side or overlaid) as they tune/compare models - using ParaView?

      • Things to do:

        1. given a reconstructed point cloud, view in paraview/dinoVR and determine outliers (automated thru code?)

        2. compare viewing and compatibility options between paraview, dinovr, etc.

        3. overlay two sets of point cloud data to determine intersecting areas

        4. can display original photos alongside point cloud data to compare

      • Class Activity: view two sets of point clouds together and identify areas of intersection and outliers

      • Deliverables: comparison of paraview and dinovr (and potentially others); if i can figure out how to use paraview in quest, post tutorial for that