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

U.R. Dhond, J.K. Aggarwal

IEEE Transactions on Pattern Analysis and Machine Intelligence · 1995 · 17 citations · 16 references

Concepts

Abstract

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

References

16