New basis function distortion invariant detection filters

Anand K. Iyer; David P. Casasent

doi:10.1117/12.187274

29 September 1994 New basis function distortion invariant detection filters

Anand K. Iyer, David P. Casasent

Proceedings Volume 2297, Photonics for Processors, Neural Networks, and Memories II; (1994) https://doi.org/10.1117/12.187274
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

New correlation filters for object detection are considered. Detection is the first step in general scene analysis. It requires locating the positions of all objects (regions of interest) in a scene. This involves recognizing objects in multiple classes with object distortion and contrast differences in the presence of clutter. To solve this problem, we use basis function descriptions of objects using new Gabor wavelet (CW) filter functions with new correlation plane optimization functions and employ degrees of freedom (DOFs) to satisfy the optimization functions in a controlled manner. We refer to these as DOF filters and to our specific versions as GW-DOF filters.

Citation Download Citation

Anand K. Iyer and David P. Casasent "New basis function distortion invariant detection filters", Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); https://doi.org/10.1117/12.187274

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