TY - GEN
T1 - A fast block matching algorthim for stereo correspondence
AU - Tao, Tangfei
AU - Koo, Ja Choon
AU - Choi, Hyouk Ryeol
PY - 2008
Y1 - 2008
N2 - Stereo correspondence is one of the most active research areas in computer vision. An improved block matching approach for fast stereo correspondence is proposed, where the matching criterion is the sum of absolute difference (SAD). The approach tries to progressively confine the matching operation during the searching process, terminates unnecessary computations of matching criteria between the reference block in the left image and the ineligible candidate block in the right image, and eliminates the ineligible block as early as possible while ensuring the optimal disparity of each pixel. The performance of the new algorithm is evaluated by carrying out a theoretical analysis, and by comparing it with the stereo correspondence method based on the standard block matching. Simulation results demonstrate that the disparities obtained by this algorithm are identical to that using standard block matching method, and a reduction of over 55% in computational cost is achieved.
AB - Stereo correspondence is one of the most active research areas in computer vision. An improved block matching approach for fast stereo correspondence is proposed, where the matching criterion is the sum of absolute difference (SAD). The approach tries to progressively confine the matching operation during the searching process, terminates unnecessary computations of matching criteria between the reference block in the left image and the ineligible candidate block in the right image, and eliminates the ineligible block as early as possible while ensuring the optimal disparity of each pixel. The performance of the new algorithm is evaluated by carrying out a theoretical analysis, and by comparing it with the stereo correspondence method based on the standard block matching. Simulation results demonstrate that the disparities obtained by this algorithm are identical to that using standard block matching method, and a reduction of over 55% in computational cost is achieved.
KW - Block matching, disparity
KW - Computer vision
KW - SAD
KW - Stereo correspondence
UR - https://www.scopus.com/pages/publications/57649198577
U2 - 10.1109/ICCIS.2008.4670774
DO - 10.1109/ICCIS.2008.4670774
M3 - Conference contribution
AN - SCOPUS:57649198577
SN - 9781424416745
T3 - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
SP - 38
EP - 41
BT - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
PB - IEEE Computer Society
T2 - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
Y2 - 21 September 2008 through 24 September 2008
ER -