Extracting endocardium and epicardium from echocardiographic images is a challenging task because of large amounts of noise, signal drop-out, unrelated structures, and unseen wall parts. This paper introduces a new te...
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A robust classification method is developed on the basis of sparse subspace decomposition. This method tries to decompose a mixture of subspaces of unlabeled data (queries) into class subspaces as few as possible. Eac...
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Subspace methods that utilize principal component analysis (PCA) are widely used for pattern classification or detection problems. Kernel PCA (KPCA) that is an extension of PCA is also applied to subspace methods. How...
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Human action recognition has been an active research topic in computervision. How to model all kinds of actions, varying with time resolution, visual appearance, etc., is quite a challenging task for recognition. In ...
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Gender recognition is important for many applications including human computer interaction (HCI). This paper shows that gender recognition accuracy is affected significantly by the age of the person. Our empirical stu...
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The automatic calibration of the intrinsic camera parameters such as the focal length and the camera orientation is an important pre-requisite for many computervision algorithms in video surveillance. Despite its imp...
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Recent advances in 3D visualization from research on computervision (CV) and computer graphics (CG) have stimulated vigorous research on the digital modeling and rendering of woven fabrics. In this paper, we propose ...
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The Fisher Linear Discriminant (FLD) is commonly used in classification to find a subspace that maximally separates class patterns according to the Fisher Criterion. It was previously proven that a pre-whitening step ...
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One of the main challenges in video-based multi-target tracking is the consistent maintenance of object identities over time. We present a novel approach to that challenge that integrates tracking and detection in a s...
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We study the problem of robust pedestrian detection. A new descriptor, Pyramidal Statistics of Oriented Filtering (PSOF), is proposed for shape representation. Unlike one-scale gradient-based methods, the PSOF descrip...
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