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[Project image] Temporal Shape-From-Silhouette
Heads: Takeo Kanade and Simon Baker
Contact: Takeo Kanade (tk@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated lab/group: Virtualized RealityTM

For more information, see this project's homepage.

This page last updated - November 2006.
Jump to: Project Description | Personnel | Publications

Project Description

Although Shape-From-Silhouette (SFS) is a popular 3D reconstruction method, the shape estimated using SFS can be coarse if there are only a few cameras. Better shape estimates or Visual Hulls can be obtained if the number of distinct silhouette images is increased. Instead of increasing the number of physical cameras (the across space approach), in this project multiple silhouette images captured across time are combined to compute a refined Visual Hull. The Temporal Shape-From-Silhouette Algorithm consists of two tasks: Visual Hull Alignment and Visual Hull Refinement. Temporal SFS is first devised for rigid objects and then extended to articulated objects (with rigid parts).

Example Results (Rigid Case):

Example Results (Piecewise Rigid/Articulated Case):

Personnel [Past Members]

Name Title Email Address
Takeo's personal homepage Takeo Kanade U.A. and Helen Whitaker University Prof., RI/CS tk@cs.cmu.edu

Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.


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