Remote logo detection using angle-distance histograms
Sungwook Youn, Jiheon Ok, Sangwook Baek, Seongyoun Woo, Chulhee Lee · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
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.