Three-dimensional object visualization and recognition based on computational integral imaging

Bahram Javidi; Yann Frauel

doi:10.1117/12.501398

6 August 2003 Three-dimensional object visualization and recognition based on computational integral imaging

Bahram Javidi, Yann Frauel

Author Affiliations +

Proceedings Volume 5106, Optical Pattern Recognition XIV; (2003) https://doi.org/10.1117/12.501398
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

We propose to use integral images to reconstruct and recognize three-dimensional (3D) scenes in a computer. A stereo-matching algorithm is applied to integral images in order to extract the depth information. This information is used to digitally reconstruct the 3D scenes. A numerical 3D correlation is then computed between various reconstructed scenes. We demonstrate the reconstruction and correlation results from experimental integral images. We propose to use a nonlinear correlation for better discrimination and we present the successful recognition and 3D localization of an object in a 3D scene. We finally compare the discrimination of two- and three-dimensional correlations.

Citation Download Citation

Bahram Javidi and Yann Frauel "Three-dimensional object visualization and recognition based on computational integral imaging", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); https://doi.org/10.1117/12.501398

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