Digital three-dimensional image correlation by use of computer-reconstructed integral imaging
- 10 September 2002
- journal article
- Published by Optica Publishing Group in Applied Optics
- Vol. 41 (26), 5488-5496
- https://doi.org/10.1364/ao.41.005488
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.This publication has 15 references indexed in Scilit:
- Distortion-tolerant three-dimensional object recognition with digital holographyApplied Optics, 2001
- Integral three-dimensional imaging with digital reconstructionOptics Letters, 2001
- Three-dimensional object recognition by use of digital holographyOptics Letters, 2000
- Three-dimensional video system based on integral photographyOptical Engineering, 1999
- The display of three-dimensional video imagesProceedings of the IEEE, 1997
- Present status of three-dimensional television researchProceedings of the IEEE, 1995
- Filter design for optical pattern recognition: multicriteria optimization approachOptics Letters, 1990
- Nonlinear joint power spectrum based optical correlationApplied Optics, 1989
- Signal detection by complex spatial filteringIEEE Transactions on Information Theory, 1964
- Reconstructed Wavefronts and Communication Theory*Journal of the Optical Society of America, 1962