Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning (Synthesis Lectures on Image, Video & Multimedia Processing)

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This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting.

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eBook Details:
Category: Computer Science
Author: Phillipos Mordohai
Language: English
ISBN10: 1598291009
ISBN13: 9781598291001
Pages: 136
PubDate: 2006-11-21 00:00:00
UploadDate: 3/30/2016 4:01:43 pm

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