Abstract
In this paper we propose a method of locating face and eyes using context-aware binarization. Face detection obtains the face region using neural network and mosaic image representation. Eye location extracts the location of eyes from the detected face region. The proposed method is composed of binarization, connected region segmentation by labeling, eye candidate area extraction by heuristic rules that use geometric information, eye candidate pair detection, and eye area pair determining by ranking method. Binarization plays an important role in this system that converts a source image to a binary image suitable for locating eyes. We consider edge detection based and image segmentation based binarization methods. However, each method alone cannot be used a solution in general environment because these are influenced by the factors such as light direction, contrast, brightness, and spectral composition. We propose a hybrid binarization using the concept of illumination context–awareness that mixes two binarization methods in general environment.
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Jung, J.N., Nam, M.Y., Rhee, P.K. (2005). Adaptive Eye Location Using FuzzyART. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_19
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DOI: https://doi.org/10.1007/11539117_19
Publisher Name: Springer, Berlin, Heidelberg
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