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The Medical-Vision group is involved in the
developing efficient algorithms for a variety of problems in diverse domains
ranging from Computational Vision, Graphics and Medical Imaging. Within Computer Vision, we
are concerned with developing efficient algorithms for 2D/3D image and
motion segmention, image indexing using concepts of information geometry, for content-based retrieval (CBR). In Medical Imaging, we are
involved in developing algorithms for shape modeling and recovery from
volume data; inter and intra-modal volume image registration;
Diffusion Tensor and high angular diffusion weighted MR image analysis, visualization and
nerve fiber mapping; shape learning and classification using novel machine learning methods with applications to neuro-degenerative disorders e.g., epilepsy.
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SURFLAB
conducts
research in geometric modeling and its application to areas such as
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