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Proceedings Paper

Fully invariant object recognition in cluttered scenes
Author(s): Peter Bone; Ioannis I. Kypraios; Rupert C. D. Young; Christopher R. Chatwin
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Paper Abstract

A method of detecting target objects in cluttered scenes despite any kind of geometrical distortion is demonstrated. Several existing techniques are combined, each one capable of creating invariance to one or more types of distortion of the target object. A MACH filter combined with an SDF creates invariance to orientation while constraining the correlation peak amplitudes and giving good tolerance to background clutter and noise. A log r-θ mapping is employed to give invariance to in-plane rotation and scale.

Paper Details

Date Published: 21 February 2005
PDF: 12 pages
Proc. SPIE 5822, Information Technologies 2004, (21 February 2005); doi: 10.1117/12.612034
Show Author Affiliations
Peter Bone, Univ. of Sussex (United Kingdom)
Ioannis I. Kypraios, Univ. of Sussex (United Kingdom)
Rupert C. D. Young, Univ. of Sussex (United Kingdom)
Christopher R. Chatwin, Univ. of Sussex (United Kingdom)


Published in SPIE Proceedings Vol. 5822:
Information Technologies 2004
Andrei M. Andriesh; Veacheslav L. Perju, Editor(s)

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