Genetic Model Optimization for Hausdorff Distance-Based Face Localization
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Eye localization for face matching: is it always useful and under what conditions?
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Eye localization in low and standard definition content with application to face matching
Computer Vision and Image Understanding
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This paper adopts face localization to eye extraction strategy for eye detection in complex scenes. First, an energy analysis is applied to enhance face localization performance by removing most noise-like regions rapidly. According to anthropometry, the face-of-interest (FOI) region is located using signatures derived from the proposed head contour detection (HCD) approach that searches the best combinations of facial sides and head contours. Second, via the de-edging preprocessing for facial sides, a wavelet subband inter-orientation projection method is devised to generate and select eye-like candidates. By utilizing the geometric discrimination information among the facial components, such as the eyes, nose, and mouth, the proposed eye verification rules verify the eye pair selected from the candidates. The experimental results demonstrate the significance performance improvement using the proposed method over others on three head-and-shoulder databases.