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Stereo matching in the presence of narrow occluding objects using dynamic disparity search

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2 Author(s)
U. R. Dhond ; Schlumberger Austin Syst. Center, Austin, TX, USA ; J. K. Aggarwal

Most contemporary stereo correspondence algorithms impose global consistency among candidate match-points using spatial hierarchy mechanism (SHM) based techniques that rely on either the local support within a 2D neighborhood in the image plane and/or cooperative processes between multiple levels of a pixel-resolution or structural-description hierarchy. We analyze the stereo matching failures in SHM-based techniques in the presence of narrow occluding objects and propose the dynamic disparity search (DDS) framework to reduce false-positive matches. Experiments with indoor and outdoor scenes demonstrate a significant reduction in the false-positive match rates of a DDS-based stereo algorithm as compared to those of two existing algorithms

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:17 ,  Issue: 7 )