Fully invariant object recognition in cluttered scenes

Peter Bone; Ioannis I. Kypraios; Rupert C. D. Young; Christopher R. Chatwin

doi:10.1117/12.612034

21 February 2005 Fully invariant object recognition in cluttered scenes

Peter Bone, Ioannis I. Kypraios, Rupert C. D. Young, Christopher R. Chatwin

Proceedings Volume 5822, Information Technologies 2004; (2005) https://doi.org/10.1117/12.612034
Event: Information Technologies 2004, 2004, Chisinau, Moldova

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.

Citation Download Citation

Peter Bone, Ioannis I. Kypraios, Rupert C. D. Young, and Christopher R. Chatwin "Fully invariant object recognition in cluttered scenes", Proc. SPIE 5822, Information Technologies 2004, (21 February 2005); https://doi.org/10.1117/12.612034

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