The scene’s geometry and appearance is modeled with
an evenly divided discrete volume, each unit being a voxel.
Each voxel has two properties: opacity and color. Opacity
is a binary variable, 0 for empty and 1 for solid. The color of
the solid voxel represents the appearance of the object.

This algorithm uses a novel approach for multiview
stereo based on a Markov Random Field (MRF) model with ray-cliques modeling
the image formation process. With a multi-view image generation
probabilistic mixture model, and optimized belief
propagation, the MRF model can be inferred efficiently.

We are currently using 2 3D alogrithms.

mv3d

Automatic generation of 3d models from photographs using Shubao Liu's iray software developed at the LEMS lab at Brown University.

pmvs-2

Automatic generation of 3d models from photographs using Yasutaka Furukawa's Patch-based Multi-view Stereo software, PMVS-2, version 2, developed at the University of Washington and distributed under the GPL.