Pawan Kumar Mudigonda

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This paper presents several results on images of various configurations of conics. We extract information about the plane from single and multiple views of known and unknown conics, based on planar homography and conic correspondences. We show that a single conic section cannot provide sufficient information. Metric rectification of the plane can be(More)
This thesis investigates the role of optimization in two areas of Computer Science: Computer Vision and Machine Learning. Specifically, we consider two well-known problems in Computer Vision, namely motion segmentation and object category specific image segmentation, and a fundamental problem in Machine Learning, known as maximum a posteriori (map)(More)
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