“PhotoSpace: a vision based approach for digitizing props” by Bhat and Burke




    PhotoSpace: a vision based approach for digitizing props



    This talk will concentrate on how some of the recent advances in computer graphics and vision fit into a visual effects pipeline and their application for digitizing props. The production of movies often requires digitizing physical properties of various props. At Weta Digital we model, texture, and shade thousands of props in immense detail. We present a vision-based pipeline for digitizing props that requires far less user input than previous methods. This vision based pipeline fully automates the process of creating virtual cameras, reference geometry, and texture maps, which is then used by our artists to create the final assets at a much faster rate.


    1. Bhat, P., Zitnick, C. L., Snavely, N., Agarwala, A., Agrawala, M., Curless, B., Cohen, M., and Kang, S. B. 2007. Using photographs to enhance videos of a static scene. In EGSR 2007.
    2. Furukawa, Y., and Ponce, J., 2010. Patch-based multi-view stereo software. http://grail.cs.washington.edu/software/pmvs.
    3. Kazhdan, M. M., 2007. Unconstrained isosurface extraction on arbitrary octrees. http://www.cs.jhu.edu/misha/Code/IsoOctree/.
    4. Snavely, N., 2010. Bundler: Structure from motion for unordered image collections. http://phototour.cs.washington.edu/bundler/.

ACM Digital Library Publication:

Overview Page: