Abstract

We have proposed a method to recognize partially occluded three-dimensional (3D) objects by using 3D volumetric reconstruction integral imaging (II). An II system captures multiple perspectives of occluded objects by using a microlens array. The reconstruction of the occluded 3D scene and target recognition are done digitally to reduce the effects of the occlusion. To verify system performance, we have implemented an optimum filter for object recognition. Both two-dimensional (2D) images and 3D II volumetric reconstructed images are considered. The correlation results of occluded 3D images for volumetric reconstruction show substantial improvements compared with those for conventional 2D imaging of occluded images.

© 2006 Optical Society of America

Distortion-tolerant 3D recognition of occluded objects using computational integral imaging

Seung-Hyun Hong and Bahram Javidi
Opt. Express 14(25) 12085-12095 (2006)

Three-dimensional tracking of occluded objects using integral imaging

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Opt. Lett. 33(23) 2737-2739 (2008)

Three-dimensional imaging and visualization of partially occluded objects using axially distributed stereo image sensing

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Photon-counting passive 3D image sensing for reconstruction and recognition of partially occluded objects

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