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Texture Analysis
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This aims to model a texture introducing a notion of texton.
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Texture Segmentation
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This aims to develop a segmentation algorithm based on texture descriptors.
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Surface Reconstruction
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This aims to develop a algorithm for reconstructing a surface using partial geometric information in Level set framework.
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Shape Statistic
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This aims to develop first-order and second-order statistics from an ensemble of shapes.
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Shape Analysis
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This aims to develop a shape descriptor that is characteristic with respect to geometrical properties of shape and is robust with respect to noise.
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Digital Mammography
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This aims to develop a Computer-Aided Diagnosis system in the diagnosis of breast cancer based on mammograms. This involves segmentation, classification, and registration problems.
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Fragment-based Recognition
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This aims to extract informative patches (fragments) from a set of images for recognition.
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Research Collaborators
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Prof. Stefano Soatto (UCLA)
Prof. Tony Chan (UCLA)
Prof. Luminita Vese (UCLA)
Prof. Michael Brady (Oxford)
Prof. Daniel Cremers (Bonn)
Dr. Emmanuel Prados (INRIA)
Dr. Sheshadri Thiruvenkadam (UCLA)
Dr. Ganeshh Sundaramoorthi (UCLA)
Dr. Matthew Mellor (Oxford)
Dr. Siddharth Manay (Los Alamos)
Kangyu Ni (UCLA)
Jonghye Woo (USC)
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