@inproceedings{82ac4e46e2fc41adb92492f26c03fb2d,
title = "Multi-scale stereo matching",
abstract = "Most work in pyramidal or hierarchical stereo matching has primarily used the direct coarse-to-fine or hill climbing search method. However, there are two significant problems in using the hill climbing method. First, the match at the initial scale level can be wrong. Second, the binary decision at any of the finer scale levels may be wrong. Our method, which is essentially a best-first or cost minimization search method, alleviates both of these problems. The results of our method applied to real world image pairs are presented as well as a direct comparision in terms of percentage of correct matches to the traditional hill climbing method.",
author = "Lew, {Michael S.} and Wong, {Kam W.} and Huang, {Thomas S.}",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 11th IAPR International Conference on Pattern Recognition, IAPR 1992 ; Conference date: 30-08-1992 Through 03-09-1992",
year = "1992",
doi = "10.1109/ICPR.1992.201638",
language = "English (US)",
isbn = "081862910X",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "620--623",
booktitle = "Conference A",
address = "United States",
}