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Extracting non-rigid object from images can be used in object recognition, medical image analysis, video monitoring, etc. In order to improve the efficiency and accuracy of visual object extraction, we design a candidate shape generator based on a mixture strategy, called mixture generator, it combines the image data driven method with model parameter driven method, and tends to generate valid shape...
Human head pose estimation is a hot topic in computer vision field, which can be used in video surveillance, Human Computer Interaction and so on. Active Shape Model is a template matching method, which is suitable for object localization and point based feature extraction. In this paper, we propose an algorithm based on Active Shape Model for head pose estimation. In the proposed algorithm, we firstly...
Facial feature extraction attracts much research interest due to its importance value in applications including human-computer interaction and visual surveillance. Model-based algorithms such as active shape models and active appearance models are efficient for facial feature extraction in color images. However, the complexity of the images and the local nature of active shape models optimization...
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