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Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Anthony J. Campillo
  • Vol. 31, Iss. 8 — Apr. 15, 2006
  • pp: 1106–1108

Three-dimensional recognition of occluded objects by using computational integral imaging

Bahram Javidi, Rodrigo Ponce-Díaz, and Seung-Hyun Hong  »View Author Affiliations


Optics Letters, Vol. 31, Issue 8, pp. 1106-1108 (2006)
http://dx.doi.org/10.1364/OL.31.001106


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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

OCIS Codes
(200.4650) Optics in computing : Optical interconnects
(200.4740) Optics in computing : Optical processing

ToC Category:
Optical Computing

History
Original Manuscript: November 8, 2005
Revised Manuscript: December 19, 2005
Manuscript Accepted: December 20, 2005

Citation
Bahram Javidi, Rodrigo Ponce-Díaz, and Seung-Hyun Hong, "Three-dimensional recognition of occluded objects by using computational integral imaging," Opt. Lett. 31, 1106-1108 (2006)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-31-8-1106


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