Ear detection using active contour model
2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS)(2016)
摘要
Ear detection in face images, which is invariant to background and pose, is very challenging. This paper proposes a novel solution to this problem with the use of Snakes as active contour model. The proposed method encompasses two stages, namely, Snake-based Background Removal (SBR) and Snake-based Ear Localization (SEL). SBR is used to remove background from a face image and thereafter, SEL is used to localize the ear. A feedback is provided to this system with the use of Support Vector Machines (SVM) which classifies the region of the image localized by SEL as an ear or non-ear entity. Experimental results obtained by applying the proposed algorithm on two benchmark face databases, namely CMU-PIE and ColorFERET, show a significant improvement in Localization Rate, and a substantial reduction in the computation time.
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关键词
Ear Detection,Ear Localization,Snakes,Active Contour Model
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