Visual Object Recognition

Visual Object Recognition

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作者: Grauman , Kristen , Leibe , Bastian

出版社: Morgan & Claypool

出版时间: 2011-04

ISBN: 9781598299687

页数: 163页

分类: 外文古旧书>英文书>计算机与互联网

The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn\'t possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization.,
内容简介:
The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn\'t possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization.,

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