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19 May 2016 Remote logo detection using angle-distance histograms
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Abstract
Among all the various computer vision applications, automatic logo recognition has drawn great interest from industry as well as various academic institutions. In this paper, we propose an angle-distance map, which we used to develop a robust logo detection algorithm. The proposed angle-distance histogram is invariant against scale and rotation. The proposed method first used shape information and color characteristics to find the candidate regions and then applied the angle-distance histogram. Experiments show that the proposed method detected logos of various sizes and orientations.
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Sungwook Youn, Jiheon Ok, Sangwook Baek, Seongyoun Woo, and Chulhee Lee "Remote logo detection using angle-distance histograms", Proc. SPIE 9874, Remotely Sensed Data Compression, Communications, and Processing XII, 98740K (19 May 2016); https://doi.org/10.1117/12.2225569
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