TY - GEN
T1 - A correlation-based approach for real-time stereo matching
AU - Gupta, Raj Kumar
AU - Cho, Siu Yeung
PY - 2010
Y1 - 2010
N2 - In this paper, we present a new area-based stereo matching algorithm that computes dense disparity maps for a real time vision system. While many stereo matching algorithms have been proposed in recent years, correlation-based algorithms still have an edge due to speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult problem for correlation-based algorithms. We use two correlation windows (one large and one small size) to improve the performance of the algorithm while maintaining its real-time suitability. Unlike other area-based stereo matching algorithms, our method works very well at disparity boundaries as well as in low textured image areas and computes a sharp disparity map. Evaluation on the benchmark Middlebury stereo dataset has been done to demonstrate the qualitative and quantitative performance of our algorithm.
AB - In this paper, we present a new area-based stereo matching algorithm that computes dense disparity maps for a real time vision system. While many stereo matching algorithms have been proposed in recent years, correlation-based algorithms still have an edge due to speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult problem for correlation-based algorithms. We use two correlation windows (one large and one small size) to improve the performance of the algorithm while maintaining its real-time suitability. Unlike other area-based stereo matching algorithms, our method works very well at disparity boundaries as well as in low textured image areas and computes a sharp disparity map. Evaluation on the benchmark Middlebury stereo dataset has been done to demonstrate the qualitative and quantitative performance of our algorithm.
UR - http://www.scopus.com/inward/record.url?scp=78650787324&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17274-8_13
DO - 10.1007/978-3-642-17274-8_13
M3 - Conference contribution
AN - SCOPUS:78650787324
SN - 3642172733
SN - 9783642172731
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 129
EP - 138
BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
T2 - 6th International, Symposium on Visual Computing, ISVC 2010
Y2 - 29 November 2010 through 1 December 2010
ER -