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Recent methods for object co-segmentation focus on discovering single co-occurring relation of candidate regions representing the foreground of multiple images. However, region extraction based only on low and middle level information often occupies a large area of background without the help of semantic context. In addition, seeking single matching solution very likely leads to discover local parts...
Considering the conventional defects of boosting cascade, such as overwhelmed training computation, inaccurate threshold adjustment, face detection based on multiple instances and boosting cascade presents a new way. This paper explores the solutions of boosting machine learning and its threshold adjustment strategies, which utilize separated training sets, large scale set with bootstrapping, various...
In allusion to the boundary leaking problem of traditional active contours when used to extract facial features, two kinds of local information are introduced to enhance the weak boundary, then to build new external force for active contours. The prior knowledge of the local shape of the facial features is incorporated into the evolution of active contour. The snake contour in each evolution step...
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