Visual Object Recognition by Kristen GraumanVisual Object Recognition by Kristen Grauman

Visual Object Recognition

byKristen Grauman

Paperback | October 15, 2011

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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.
Title:Visual Object RecognitionFormat:PaperbackDimensions:181 pages, 9.25 × 7.5 × 0.68 inPublished:October 15, 2011Publisher:MORGAN & CLAYPOOL PUBLISHERSLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1598299689

ISBN - 13:9781598299687

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