Segment-based stereo matching using energy-based regularization

Authors:
Dongbo Min;Sangun Yoon;Kwanghoon Sohn
Affiliations:
Dept. of Electrical and Electronics Eng., Yonsei University, Seodaemun-gu, Seoul, Korea;Dept. of Electrical and Electronics Eng., Yonsei University, Seodaemun-gu, Seoul, Korea;Dept. of Electrical and Electronics Eng., Yonsei University, Seodaemun-gu, Seoul, Korea
Venue:
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Year:
2006

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Abstract

We propose a new stereo matching algorithm through energy-based regularization using color segmentation and visibility constraint. Plane parameters in the entire segments are modeled by robust least square algorithm, which is LMedS method. Then, plane parameter assignment is performed by the cost function penalized for occlusion, iteratively. Finally, disparity regularization which considers the smoothness between the segments and penalizes the occlusion through visibility constraint is performed. For occlusion and disparity estimation, we include the iterative optimization scheme in the energy-based regularization. Experimental results show that the proposed algorithm produces comparable performance to the state-of-the-arts especially in the object boundaries, un-textured regions.