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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 18 — Jun. 20, 2012
  • pp: 4058–4064

Three-dimensional range data compression using computer graphics rendering pipeline

Song Zhang  »View Author Affiliations


Applied Optics, Vol. 51, Issue 18, pp. 4058-4064 (2012)
http://dx.doi.org/10.1364/AO.51.004058


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Abstract

This paper presents the idea of naturally encoding three-dimensional (3D) range data into regular two-dimensional (2D) images utilizing computer graphics rendering pipeline. The computer graphics pipeline provides a means to sample 3D geometry data into regular 2D images, and also to retrieve the depth information for each sampled pixel. The depth information for each pixel is further encoded into red, green, and blue color channels of regular 2D images. The 2D images can further be compressed with existing 2D image compression techniques. By this novel means, 3D geometry data obtained by 3D range scanners can be instantaneously compressed into 2D images, providing a novel way of storing 3D range data into its 2D counterparts. We will present experimental results to verify the performance of this proposed technique.

© 2012 Optical Society of America

OCIS Codes
(100.5070) Image processing : Phase retrieval
(100.6890) Image processing : Three-dimensional image processing
(120.2650) Instrumentation, measurement, and metrology : Fringe analysis

ToC Category:
Image Processing

History
Original Manuscript: February 1, 2012
Revised Manuscript: April 21, 2012
Manuscript Accepted: May 7, 2012
Published: June 13, 2012

Citation
Song Zhang, "Three-dimensional range data compression using computer graphics rendering pipeline," Appl. Opt. 51, 4058-4064 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-18-4058


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References

  1. N. Karpinsky and S. Zhang, “Holovideo: Real-time 3D video encoding and decoding on GPU,” Opt. Lasers Eng. 50, 280–286 (2012). [CrossRef]
  2. S. Gumhold, Z. Kami, M. Isenburg, and H.-P. Seidel, “Predictive point-cloud compression,” SIGGRAPH 2005 Sketches 137 (ACM, 2005).
  3. B. Merry, P. Marais, and J. Gain, “Compression of dense and regular point clouds,” Comput. Graph. Forum 25, 709–716 (2006). [CrossRef]
  4. R. Schnabel and R. Klein, “Octree-based point-cloud compression,” Proceedings of IEEE/Eurographics Symposium on Point-Based Graphics (IEEE, 2006), pp. 111–120.
  5. A. Jones, M. Lang, G. Fyffe, X. Yu, J. Busch, I. McDowall, M. Bolas, and P. Debevec, “Achieving eye contact in a one-to-many 3D video teleconferencing system,” SIGGRAPH ’09 (ACM, 2009).
  6. X. Gu, S. Zhang, L. Zhang, P. Huang, R. Martin, and S.-T. Yau, “Holoimages,” in ’06 ACM Symposium on Solid and Physical Modeling (ACM, 2006), pp. 129–138.
  7. N. Karpinsky and S. Zhang, “Composite phase-shifting algorithm for three-dimensional shape compression,” Opt. Eng. 49, 063604 (2010). [CrossRef]
  8. H. Schreiber and J. H. Bruning, Optical Shop Testing, 3rd ed. (Wiley, 2007), pp. 547–666.
  9. J. Novak, P. Novak, and A. Miks, “Multi-step phase shifting algorithms insensitive to linear phase shift errors,” Opt. Commun. 281, 5302–5309 (2008). [CrossRef]
  10. D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software (Wiley, 1998).
  11. S. Zhang and P. S. Huang, “Novel method for structured light system calibration,” Opt. Eng. 45, 083601 (2006). [CrossRef]

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