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Article #70REMINDER - Today's Talk - David Jacobs - Associate Professor -CSIC Building, Room 1115 at 4:00pm
From: Findlay, Adelaide
Date: Mon, 20 Oct 2008 13:41
Date: Mon, 20 Oct 2008 13:41
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4361 bytes
Department of Computer Science David Jacobs, Associate Professor will be giving a talk today Monday,October 20, 2008 - CSIC Building - Room 1115 at 4:00pm Reception will be held at the CSIC Lobby before the talk at 3:30 p.m. Title and Abstract are below: Title: Matching Images with Deformations Abstract: When we match images that come from the same object, we must often allow for 2D, non-linear deformations. These can model changes in shape that can occur when an object deforms or an articulated object moves its parts, differences in shape between different instances of the same type of object, or variations in apparent shape due to changes in viewpoint. This talk will provide an overview of several approaches to matching that stress finding problem formulations that yield computationally efficient algorithms. I will describe a novel image descriptor that is invariant to deformations, and a shape descriptor that is invariant to articulations. We use this shape matching algorithm in a hand-held device for computer assisted plant species identification. I will then show that the cost returned by a stereo matching algorithm can be used for image matching when there deformation due to pose variation. We use this to construct a face recognition algorithm that compares 2D gallery and probe images taken from different viewpoints. This algorithm outperforms all prior work on the CMU PIE data set for face recognition with pose variation. Finally, I will present an approximation algorithm for computing the Earth Mover's Distance (EMD), a metric for comparing probability distributions that can be used to match image descriptors, accounting for deformations. Using a wavelet-based representation, we construct an accurate, linear time algorithm for computing the EMD.
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