Enhanced reconstruction of three-dimensional shape and texture from integral photography images
Applied Optics, Vol. 46, Issue 22, pp. 5311-5320 (2007)
http://dx.doi.org/10.1364/AO.46.005311
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Abstract
A method for the reconstruction of 3D shape and texture from integral photography (IP) images is presented. Sharing the same principles with stereoscopic-based object reconstruction, it offers increased robustness to noise and occlusions due to the unique characteristics of IP images. A coarse-to-fine approach is used, employing what we believe to be a novel grid refinement step in order to increase the quality of the reconstructed objects. The proposed method's properties include configurable depth accuracy and direct and seamless triangulation. We evaluate our method using synthetic data from a computer-simulated IP setup as well as real data from a simple yet effective digital IP setup. Experiments show reconstructed objects of high-quality indicating that IP can be a competitive modality for 3D object reconstruction.
© 2007 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(100.6890) Image processing : Three-dimensional image processing
(110.0110) Imaging systems : Imaging systems
(110.6880) Imaging systems : Three-dimensional image acquisition
ToC Category:
Image Processing
History
Original Manuscript: January 2, 2007
Revised Manuscript: March 30, 2007
Manuscript Accepted: April 15, 2007
Published: July 12, 2007
Citation
G. Passalis, N. Sgouros, S. Athineos, and T. Theoharis, "Enhanced reconstruction of three-dimensional shape and texture from integral photography images," Appl. Opt. 46, 5311-5320 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-22-5311
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