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Part-Based Strategies for Visual Categorisation and Object Recognition

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Object Recognition, Attention, and Action

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Abstract

Approaches to object recognition that rely on structural, or part-based, descriptions have a long-standing tradition in research on both computer and biological vision. Originally developed in the field of computer graphics, Binford (1971) was among the first to suggest that similar representations might be used by biological systems for object recognition. According to this author, such representations could be based on certain three-dimensional (3D) part primitives termed “generalized cones”.

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Author information

Authors and Affiliations

  1. School of Life and Health Sciences — Psychology, Aston University, Aston Triangle, Birmingham, B4 7ET, UK

    Martin Jüttner

Authors
  1. Martin Jüttner
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Editor information

Editors and Affiliations

  1. Department of Psychology, Graduate School of Letters, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan

    Naoyuki Osaka Ph.D. (Professor) (Professor)

  2. Institute of Medical Psychology, University of Munich, Goethestr. 31, D-80336, Munich, Germany

    Ingo Rentschler Ph.D. (Professor) (Professor)

  3. Image Understanding Laboratory, University of Southern California, Hedco Neurosciences Building, Rm. 316, MC 2520, 3641 Watt Way, Los Angeles, CA, 90089-2520, USA

    Irving Biederman Ph.D. (Professor) (Professor)

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Jüttner, M. (2007). Part-Based Strategies for Visual Categorisation and Object Recognition. In: Osaka, N., Rentschler, I., Biederman, I. (eds) Object Recognition, Attention, and Action. Springer, Tokyo. https://doi.org/10.1007/978-4-431-73019-4_5

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