Reconstructing a Dynamic Surface from Video Sequences Using Graph Cuts in 4D Space-Time

Authors:
Tianli Yu;Ning Xu;Narendra Ahuja
Affiliations:
University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Year:
2004

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Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing

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Abstract

This paper is concerned with the problem of dynamically reconstructing the 3D surface of an object undergoing non-rigid motion. The problem is cast as reconstructing a continuous optimal 3D hyper-surface in 4D space-time from a set of calibrated video sequences. The imaging model of video cameras in 4D space-time is derived and a photo-inconsistency cost function is defined for a hyper-surface in the 4D space-time. We use a 4D node-cut algorithm to find a global minimum of the cost function and obtain the corresponding optimal hyper-surface. Experimental results show that the proposed algorithm is effective in recovering continuously changing shapes and exhibits good noise resistance.