Part-based strategies for visual categorisation and object recognition

Martin Jüttner

doi:10.1007/978-4-431-73019-4_5

Part-based strategies for visual categorisation and object recognition

Martin Jüttner^*

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Chapter

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.

Original language	English
Title of host publication	Object Recognition, Attention, and Action
Publisher	Springer
Pages	55-70
Number of pages	16
ISBN (Print)	9784431730194, 9784431730187
DOIs	https://doi.org/10.1007/978-4-431-73019-4_5
Publication status	Published - 1 Jan 2007

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10.1007/978-4-431-73019-4_5

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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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Part-based strategies for visual categorisation and object recognition

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