Structure and Motion Estimation from Dynamic Silhouettes under Perspective Projection

  • Authors:
  • Tanuja Joshi;Narendra Ahuja;Jean Ponce

  • Affiliations:
  • Microsoft Corporation, One Microsoft Way, Redmond, WA 98052, USA;Beckman Institute, University of Illinois, Urbana, IL 61801, USA;Beckman Institute, University of Illinois, Urbana, IL 61801, USA

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 1999

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Abstract

We address the problem of estimating the structure and motion of asmooth curved object from its silhouettes observed over time by atrinocular stereo rig under perspective projection. We first constructa model for the local structure along the silhouette for each frame inthe temporal sequence. The local models are then integrated into aglobal surface description by estimating the motion between successivetime instants. The algorithm tracks certain surface features(parabolic points) and image features (silhouette inflections andfrontier points) which are used to bootstrap the motion estimationprocess. The entire silhouettes along with the reconstructed localstructure are then used to refine the initial motion estimate. Wehave implemented the proposed approach and report results on real images.