Paper
17 October 2006 3D recognition of occluded and distorted objects using computational integral imaging
Author Affiliations +
Proceedings Volume 6392, Three-Dimensional TV, Video, and Display V; 63920V (2006) https://doi.org/10.1117/12.707427
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
Abstract
Using volumetric computational II reconstruction, we are able to recognize distorted occluded objects with correlation based recognition algorithms. We present experimental results which show recognition of 3D rotated targets in a reconstructed occluded scene. We also show the ability of the proposed technique to recognize distorted occluded 3D non-training targets.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seung-Hyun Hong and Bahram Javidi "3D recognition of occluded and distorted objects using computational integral imaging", Proc. SPIE 6392, Three-Dimensional TV, Video, and Display V, 63920V (17 October 2006); https://doi.org/10.1117/12.707427
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KEYWORDS
3D acquisition

3D image processing

3D image reconstruction

Microlens array

Nonlinear filtering

Target recognition

Vegetation

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