Fast and robust stereo matching algorithm for obstacle detection in robotic vision systems
In this paper, we propose a new area-based stereo matching method by improving the classical Census transform. It is a difficult task to match the corresponding points in two images taken by stereo cameras, mostly under variant illumination and non-ideal conditions. The classic Census nonparametric...
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主要な著者: | Samadi, Masoud, Othman, Mohd. Fauzi, Talib, Muhamad Farihin |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Penerbit UTM Press
2016
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/71315/1/MasoudSamadi2016_Fastandrobuststereomatching.pdf http://eprints.utm.my/id/eprint/71315/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976434558&doi=10.11113%2fjt.v78.9284&partnerID=40&md5=eece85d40285de408eea2b55a9dca760 |
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