Digital Three-Dimensional Image Correlation by Use of Computer-Reconstructed Integral Imaging
Applied Optics, Vol. 41, Issue 26, pp. 5488-5496 (2002)
http://dx.doi.org/10.1364/AO.41.005488
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Abstract
We use integral images of a three-dimensional (3D) scene to estimate the longitudinal depth of multiple objects present in the scene. With this information, we digitally reconstruct the objects in three dimensions and compute 3D correlations of input objects. We investigate the use of nonlinear techniques for 3D correlations. We present experimental results for 3D reconstruction and correlation of 3D objects. We demonstrate that it is possible to perform 3D segmentation of 3D objects in a scene. We finally present experiments to demonstrate that the 3D correlation is more discriminant than the two-dimensional correlation.
© 2002 Optical Society of America
[Optical Society of America ]
OCIS Codes
(100.5010) Image processing : Pattern recognition
(100.6890) Image processing : Three-dimensional image processing
(110.4190) Imaging systems : Multiple imaging
(110.6880) Imaging systems : Three-dimensional image acquisition
Citation
Yann Frauel and Bahram Javidi, "Digital Three-Dimensional Image Correlation by Use of Computer-Reconstructed Integral Imaging," Appl. Opt. 41, 5488-5496 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-26-5488
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