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6 August 2003 Three-dimensional object visualization and recognition based on computational integral imaging
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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