TY - CHAP
T1 - Dense disparity estimation using a hierarchical matching technique from uncalibrated stereo vision
AU - Nalpantidis, Lazaros
AU - Kyriakoulis, N.
AU - Gasteratos, A.
AU - Amanatiadis, A.
AU - Sirakoulis, G.
PY - 2009/1/1
Y1 - 2009/1/1
N2 - In motion estimation, the sub-pixel matching technique involves the search of sub-sample positions as well as integer-sample positions between the image pairs, choosing the one that gives the best match. Based on this idea, the proposed disparity estimation algorithm performs a 2-D correspondence search using a hierarchical search pattern. The disparity value is then defined using the distance of the matching position. Therefore, the proposed algorithm can process non-rectified stereo image pairs, maintaining the computational load within reasonable levels.
AB - In motion estimation, the sub-pixel matching technique involves the search of sub-sample positions as well as integer-sample positions between the image pairs, choosing the one that gives the best match. Based on this idea, the proposed disparity estimation algorithm performs a 2-D correspondence search using a hierarchical search pattern. The disparity value is then defined using the distance of the matching position. Therefore, the proposed algorithm can process non-rectified stereo image pairs, maintaining the computational load within reasonable levels.
UR - http://www.scopus.com/inward/record.url?scp=70349696686&partnerID=8YFLogxK
U2 - 10.1109/IST.2009.5071680
DO - 10.1109/IST.2009.5071680
M3 - Book chapter
AN - SCOPUS:70349696686
SP - 427
EP - 431
BT - 2009 IEEE International Workshop on Imaging Systems and Techniques, IST 2009 - Proceedings
ER -