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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 21, Iss. 10 — Oct. 1, 2004
  • pp: 1855–1868

Factor graph methods for three-dimensional shape reconstruction as applied to LIDAR imaging

Robert J. Drost and Andrew C. Singer  »View Author Affiliations


JOSA A, Vol. 21, Issue 10, pp. 1855-1868 (2004)
http://dx.doi.org/10.1364/JOSAA.21.001855


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Abstract

Two methods based on factor graphs for reconstructing the three-dimensional (3D) shape of an object from a series of two-dimensional images are presented. First, a factor graph model is developed for image segmentation to obtain silhouettes from raw images; the shape-from-silhouette technique is then applied to yield the 3D reconstruction of the object. The second method presented is a direct 3D reconstruction of the object using a factor graph model for the voxels of the reconstruction. While both methods should be applicable to a variety of input data types, they will be developed and demonstrated for a particular application involving the LIDAR imaging of a submerged target. Results from simulations and from real LIDAR data are shown that detail the performance of the methods.

© 2004 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3010) Image processing : Image reconstruction techniques
(100.6890) Image processing : Three-dimensional image processing

History
Original Manuscript: December 22, 2003
Revised Manuscript: May 19, 2004
Manuscript Accepted: May 19, 2004
Published: October 1, 2004

Citation
Robert J. Drost and Andrew C. Singer, "Factor graph methods for three-dimensional shape reconstruction as applied to LIDAR imaging," J. Opt. Soc. Am. A 21, 1855-1868 (2004)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-21-10-1855


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