New approaches to 3D image recognition

Enrique Tajahuerce; Osamu Matoba; Yann Frauel; Maria-Albertina Castro; Bahram Javidi

doi:10.1117/12.449689

30 November 2001 New approaches to 3D image recognition

Enrique Tajahuerce, Osamu Matoba, Yann Frauel, Maria-Albertina Castro, Bahram Javidi

Proceedings Volume 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review; 103020A (2001) https://doi.org/10.1117/12.449689
Event: Optoelectronic Information Processing: Optics for Information Systems, 2002, Valencia, Spain

Abstract

We describe a number of new optoelectronic approaches to three-dimensional (3D) image recognition. In all the cases, digital holography is used to record the complex amplitude distribution of Fresnel diffraction patterns generated by 3D scenes illuminated with coherent light. This complex information is compared with that from a similar digital hologram of a 3D reference object using correlation methods. Pattern recognition techniques that are shift-variant or shift-invariant along the optical axis are described. In the latter case it is possible to detect the 3D position of the reference in the input scene with high accuracy. We use also a nonlinear composite correlation filter to achieve distortion tolerance. Experiments are presented to illustrate the recognition of a 3D object in the presence of out-of-plane rotation.

Citation Download Citation

Enrique Tajahuerce, Osamu Matoba, Yann Frauel, Maria-Albertina Castro, and Bahram Javidi "New approaches to 3D image recognition", Proc. SPIE 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review, 103020A (30 November 2001); https://doi.org/10.1117/12.449689

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