Computer vision 3D reconstruction from 2D scans - open to bidding

Building a high-quality 3D model from provided default scans using Matlab - Calibration - Projection - Triangulation of mesh - Surface reconstruction - Mesh clean up and smoothing - Mesh alignment - Combining meshes into final model - Rendering final model and adding color Possible algorithms used: For mesh cleaning and scan alignment For each pair of gray images Diff = absolute difference of these two for each pixel If above threshold: save AND this result with previous result to remove 0s Store result End Take array of results and find graydecoded values from binary Use these points to triangulate and find set of points. Perform Delaunay triangulation on these set of points Remove points outside a certain barrier by rotating and translating them back to camera coordinates Then reconstruct the points back to original image Output result in 3D -­ Mesh cleaning using ICP algorithm -­ Combining meshes into a final model using Poisson reconstruction