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Holistic Shape Recognition: Where-to-Look and How-to-Look

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Shape Perception in Human and Computer Vision

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

We explore the use of holistic shape matching for recognition using bottom-up image structures such as image contours, for object shape detection and segmentation. Holistic shape matching utilizes global information about object shape for matching, rather than local image features which often contain too little information to match reliably to the object model. By examining several different tasks related to object recognition, we demonstrate the value of holistic shape matching in a broad range of problems, including perceptual grouping, human pose estimation, and generic object recognition.

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Acknowledgement

The Contour Packing algorithm described here are based on Ph.D. thesis works of Qihui Zhu and Praveen Srinivasan.

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Authors and Affiliations

  1. Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA

    Jianbo Shi

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  1. Jianbo Shi
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Correspondence to Jianbo Shi .

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Editors and Affiliations

  1. Department of Computer Science, University of Toronto, King's College Road 6, Toronto, M5S 3G4, Ontario, Canada

    Sven J. Dickinson

  2. Department of Psychological Sciences, Purdue University, Third Street 703, West Lafayette, 47907, Indiana, USA

    Zygmunt Pizlo

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© 2013 Springer-Verlag London

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Shi, J. (2013). Holistic Shape Recognition: Where-to-Look and How-to-Look. In: Dickinson, S., Pizlo, Z. (eds) Shape Perception in Human and Computer Vision. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-5195-1_23

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  • DOI: https://doi.org/10.1007/978-1-4471-5195-1_23

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5194-4

  • Online ISBN: 978-1-4471-5195-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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