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COMPUTER VISION AND PATTERN RECOGNITION II
COMPUTER VISION AND IMAGE PROCESSING I
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affine transformation algorithm analysis angle applied approach architecture binary boundary calculated characters classiﬁcation cluster complexity Computer Vision contour convex-hull correlation critical points curvature curve deﬁned denoted derivative detector discontinuities distance transform domain edge detection edge pixels edge points eigenfaces equation erosion example experimental results face image facial feature extraction feature vectors ﬁgure ﬁnd ﬁrst function fuzzy sets gradient hex pixel histogram Hough Transform human faces identiﬁcation IEEE Image Processing image segmentation implementation input invariant MAP estimates matrix measure measuring function method noise normal object obtained operator optimal discriminant orientation output conﬁguration parameters partition pattem Pattern Recognition performance polygon problem proposed representation robust rotation samples scale scale space seed region sensor shape shown in Figure signal space speciﬁc structure suboptimal surface t-norms target image technique temperature texture threshold variations vision system VVV-algorithm