Similarity for Shape Analysis

  • George Leifman | Israel Institute of Technology

3D shape analysis aims at developing computational tools for reasoning about the properties of the object`s shape. It has numerous applications in computer graphics and computer vision. A fundamental aspect of shape analysis is the similarity between objects or between components of objects. I will begin my talk by briefly describing our work on several similarity-based problems, including retrieval, reconstruction from lines, segmentation and colorization. Then, I will focus on one problem – saliency detection on 3D surfaces. While the detection of the salient regions in images has been extensively studied, relatively few papers have addressed surfaces. I will present a novel algorithm to perform this task and its use in viewpoint selection.

Speaker Details

George received his B. Sc. and M.Sc. in Electrical Engineering from the Technion –Israel Institute of Technology. Currently George is at the final stages of his Ph.D., working on Computer Graphics and Computer Vision with Prof. Ayellet Tal at the Technion. He is planning to complete the Ph.D. studies this year.

George’s research focuses on geometry processing problems and he has published both in computer graphics and computer vision venues. Between 2002-2009 George has held a position of an adjunct lecturer at the Technion. Furthermore, George has a rich industrial experience; he has been working at Intel Israel since 1998.

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      Jeff Running

Series: Microsoft Research Talks