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.
© 2006 Optical Society of America
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