Shape from video:  Dense shape, texture, motion and lighting from monocular image streams.
Published: 2005
Language: eng
Number of pages: 82
Description: We present a probabilistic framework for robust recovery of dense 3D shape, motion, texture and lighting from monocular image streams. We assume that the object is rigid, smooth, Lambertian, illuminated by one distant light source and subject to transformations that are smoothly time-varying. The problem is formulated as a large optimization where we learn all model and pdf (probability distribution function) parameters simultaneously, using a quasi-Newtonian optimization technique.
Notes: Source: Masters Abstracts International, Volume: 44-02, page: 0936.

Advisor: A. Hertzmann.

Thesis (M.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

GERSTEIN MICROTEXT copy on microfiche (1 microfiche).