An efficient binary corner detector

TitleAn efficient binary corner detector
Publication TypeConference Paper
Year of Publication2002
AuthorsSaeedi, P., D. Lowe, and P. Lawrence
Conference NameControl, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Pagination338 - 343 vol.1
Date Publisheddec.
Keywordsbinary corner detector, binary-image regions, computer vision, computer vision systems, corner extraction, detection efficiency, edge detection, feature extraction, illumination conditions, image motion analysis, motion conditions, repeatability rate, scale conditions
Abstract

Corner extraction is an important task in many computer vision systems. The quality of the corners and the efficiency of the detection method are two very important aspects that can greatly impact the accuracy, robustness and real-time performance of the corresponding corner-based vision system. In this paper we introduce a fast corner detector based on local binary-image regions. We verify the performance of the proposed method by measuring the repeatability rate under various illumination, scale and motion conditions. Our experimental results show that while the quality of the features is comparable with other conventional methods, ours delivers a faster performance.

URLhttp://dx.doi.org/10.1109/ICARCV.2002.1234844
DOI10.1109/ICARCV.2002.1234844

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