Open AccessDistortion-tolerant 3D recognition of occluded objects using computational integral imaging
Author(s) -
Seung-Hyun Hong,
Bahram Javidi
Publication year - 2006
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.14.012085
Subject(s) - integral imaging , artificial intelligence , computer vision , voxel , computer science , distortion (music) , iterative reconstruction , pixel , object (grammar) , cognitive neuroscience of visual object recognition , plane (geometry) , optics , physics , mathematics , image (mathematics) , geometry , amplifier , computer network , bandwidth (computing)
In a computational three-dimensional (3D) volumetric reconstruction integral imaging (II) system, volume pixels (voxels) of the scene are reconstructed plane by plane. Therefore, foreground occluding objects and background occluded objects can be reconstructed separately when there is enough spatial separation between the occluding object and the occluded object. Using volumetric computational II reconstruction, we are able to recognize distorted and occluded objects with correlation based recognition algorithms. We present experimental results which show recognition of 3D rotated and occluded targets in a reconstructed scene. We also show the ability of the proposed technique to recognize distorted and occluded 3D non-training targets.