TY - GEN
T1 - A global sparse stereo matching method under structure tensor constraint
AU - Mu, Ying
AU - Zhang, Hong
AU - Li, Junwei
PY - 2009
Y1 - 2009
N2 - In this paper, a global algorithm based on graph cuts theory is proposed to solve the sparse stereo matching problem. The sparse feature points are extracted by the Harris corner detector. The matching problem is transformed into a labeling problem in the sparse graph which can be solved by energy minimization. In this algorithm, the graph is constructed by sparse feature points instead of pixels, which can lead to simple graph structure. In addition, a structure tensor descriptor, which is invariant to varying illumination, is used as similarity measurement to obtain more accurate result. The experimental results show that this algorithm can obtain accurate matching result.
AB - In this paper, a global algorithm based on graph cuts theory is proposed to solve the sparse stereo matching problem. The sparse feature points are extracted by the Harris corner detector. The matching problem is transformed into a labeling problem in the sparse graph which can be solved by energy minimization. In this algorithm, the graph is constructed by sparse feature points instead of pixels, which can lead to simple graph structure. In addition, a structure tensor descriptor, which is invariant to varying illumination, is used as similarity measurement to obtain more accurate result. The experimental results show that this algorithm can obtain accurate matching result.
KW - Feature point extraction
KW - Graph cuts theory
KW - Sparse point matching
KW - Stereo correspondence
UR - https://www.scopus.com/pages/publications/71049142623
U2 - 10.1109/ITCS.2009.133
DO - 10.1109/ITCS.2009.133
M3 - 会议稿件
AN - SCOPUS:71049142623
SN - 9780769536880
T3 - Proceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
SP - 609
EP - 612
BT - Proceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
T2 - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
Y2 - 25 July 2009 through 26 July 2009
ER -