skip to main content
10.1145/1128888.1128906acmconferencesArticle/Chapter ViewAbstractPublication PagesspmConference Proceedingsconference-collections
Article

Holoimages

Published: 06 June 2006 Publication History

Abstract

We introduce a novel geometric representation called the holoimage, which encodes both shading and geometry information within the same image, based on the principles of wave optics. 'Image' referes to the representation and records the amplitude of the lighting; 'holo' means that it encodes phase, and hence, three-dimensional information. Compared to conventional geometry images or depth images, the holoimage has much higher geometric accuracy. Thus, 3D information can readily be stored and transmitted using the common 24-bit image format.Holoimages can be efficiently rendered by modern graphics hardware; rendering speed is independent of the geometric complexity and only determined by the image resolution. Rendering holoimages requires no meshes, only textures.Holoimages allow various geometric processing tasks to be performed simply using straightforward image processing methods, including such tasks such as embossing and engraving, geometric texture extraction, and surface deformation measurement.Conventional geometric representations, such as meshes, point clouds, implicit surfaces and CSG models, can be easily converted to holoimages using conventional rendering techniques in real time. The opposite process, converting holoimages to geometry in the form of a depth map is accomplished efficiently accomplished by graphics hardware.Furthermore, holoimages can be easily captured from the real world with a projector and a camera at video frame rate.

References

[1]
Bolz, J., Farmer, I., Grinspun, E., and Schröder, P. 2003. Sparse matrix solvers on the gpu: conjugate gradients and multigrid. In Proceedings of SIGGRAPH 2003, ACM Press / ACM SIGGRAPH, 917--924.
[2]
Carr, N. A., and Hart, J. C. 2004. Painting detail. In Proceedings of SIGGRAPH 2004, ACM Press / ACM SIGGRAPH, 845--852.
[3]
Creath, K. 1987. Step height measurement using two-wavelength phase-shifting interferometry. Appl. Opt. 26, 2810--2816.
[4]
Gåsvik, K. J. 2002. Optical Metrology, 3rd ed. John Wiley and Sons, Inc.
[5]
Ghiglia, D. C., and Pritt, M. D. 1998. Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software. John Wiley and Sons, Inc.
[6]
Gu, X., Gortler, S., and Hoppe, H. 2002. Geometry images. In Proceedings of SIGGRAPH 2002, ACM Press / ACM SIGGRAPH, Computer Graphics Proceedings, Annual Conference Series, ACM, 355--361.
[7]
Gu, X., Zhang, S., and Huang, P. 2004. University of new york at stony brook geometric surface archive. http://metrology.eng.sunysb.edu/holoimage/index.htm.
[8]
Harding, K. G. 1991. Phase grating use for slop discrimination in moiré contouring. In Proc. SPIE, vol. 1614 of Optics, illumination, and image sensing for machine vision VI, 265--270.
[9]
Hoppe, H., and Praun, E. 2005. Shape compression using spherical geometry images. In Advances in Multiresolution for Geometric Modelling, N. Dodgson, M. Floater, and M. Sabin, Eds., 27--46.
[10]
Huang, P. S., and Zhang, S. 2006. A fast three-step phase shifting algorithm. Appl. Opt. (under press).
[11]
Huang, P. S., Hu, Q., Jin, F., and Chiang, F. P. 1999. Color-encoded digital fringe projection technique for high-speed three-dimensional surface contouring. Opt. Eng. 38, 1065--1071.
[12]
Huang, P. S., Zhang, C., and Chiang, F. P. 2003. High-speed 3-d shape measurement based on digital fringe projection. Opt. Eng. 42, 1, 163--168.
[13]
Losasso, F., and Hoppe, H. 2004. Geometry clipmaps: terrain rendering using nested regular grids. ACM Trans. Graph. 23, 3, 769--776.
[14]
Losasso, F., Hoppe, H., Schaefer, S., and Warren, J. 2003. Smooth geometry images. In Eurographics Symposium on Geometry Processing, 138--145.
[15]
Malacara, D., Ed. 1992. Optical Shop Testing. John Wiley and Songs, NY.
[16]
Post, D., Han, B., and Ifju, P. 1994. High-Sensitivity Moiré: Experimental Analysis for Mechanics and Materials. Springer-Verlag, Berlin.
[17]
Praun, E., and Hoppe, H. 2003. Spherical parametrization and remeshing. ACM Trans. Graph. 22, 3, 340--349.
[18]
Purcell, T. J., Buck, I., Mark, W. R., and Hanrahan, P. 2002. Ray tracing on programmable graphics hardware. In Proceedings of SIGGRAPH 2002, ACM Press / ACM SIGGRAPH, 703--712.
[19]
Rusinkiewicz, S., Hall-Holt, O., and Levoy, M. 2002. Real-time 3d model acquisition. ACM Trans. Graph. 21, 3, 438--446.
[20]
Salvi, J., Pages, J., and Batlle, J. 2004. Pattern codification strategies in structured light systems. Pattern Recogn. 37, 4, 827--849.
[21]
Sander, P. V., Wood, Z. J., Gortler, S. J., Snyder, J., and Hoppe, H. 2003. Multi-chart geometry images. In Eurographics Symposium on Geometry Processing, 146--155.
[22]
Shade, J. W., Gortler, S. J., Wei He, L., and Szeliski, R. 1998. Layered depth images. In Proceedings of SIGGRAPH 98, 231--242.
[23]
Takasaki, H. 1970. Moiré topography. Appl. Opt. 9, 6, 1467--1472.
[24]
Zhang, S., and Huang, P. 2004. High-resolution, real-time 3-d shape acquisition. In IEEE Computer Vision and Pattern Recognition Workshop (CVPRW'04), vol. 3, 28--37.
[25]
Zhang, S., and Huang, P. S. 2006. A novel structured light system calibration. Opt. Eng. (under press).
[26]
Zhang, S. 2005. High-Resolution, Real-Time 3-D Shape Measurement. PhD thesis, Stony Brook University, State University of New York.

Cited By

View all
  • (2024)3D Geometry Compression with Hybrid Framework: Quasi-JPEG and Phase Encoding2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP61759.2024.10743656(1-6)Online publication date: 2-Oct-2024
  • (2022)SCDeep: Single-Channel Depth Encoding for 3D-Range Geometry Compression Utilizing Deep-Learning TechniquesPhotonics10.3390/photonics90704499:7(449)Online publication date: 27-Jun-2022
  • (2020)Compression of geometry videos by 3D-SPECK wavelet coderThe Visual Computer10.1007/s00371-020-01847-z37:5(973-991)Online publication date: 11-May-2020
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SPM '06: Proceedings of the 2006 ACM symposium on Solid and physical modeling
June 2006
235 pages
ISBN:1595933581
DOI:10.1145/1128888
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2006

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. fringe projection
  2. geometric data acquisition
  3. geometry image
  4. holoimage
  5. phase shifting
  6. wave optics

Qualifiers

  • Article

Conference

SPM06
Sponsor:
SPM06: 2006 ACM Symposium on Solid and Physical Modeling
June 6 - 8, 2006
Cardiff, Wales, United Kingdom

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)9
  • Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024)3D Geometry Compression with Hybrid Framework: Quasi-JPEG and Phase Encoding2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP61759.2024.10743656(1-6)Online publication date: 2-Oct-2024
  • (2022)SCDeep: Single-Channel Depth Encoding for 3D-Range Geometry Compression Utilizing Deep-Learning TechniquesPhotonics10.3390/photonics90704499:7(449)Online publication date: 27-Jun-2022
  • (2020)Compression of geometry videos by 3D-SPECK wavelet coderThe Visual Computer10.1007/s00371-020-01847-z37:5(973-991)Online publication date: 11-May-2020
  • (2016)Two-channel high-accuracy Holoimage technique for three-dimensional data compressionOptics and Lasers in Engineering10.1016/j.optlaseng.2016.04.02085(48-52)Online publication date: Oct-2016
  • (2015)Compressing 3-D Human Motions via Keyframe-Based Geometry VideosIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2014.232937625:1(51-62)Online publication date: Jan-2015
  • (2014)Effective compression of range data streams for remote robot operations using H.2642014 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2014.6943095(3794-3799)Online publication date: Sep-2014
  • (2013)3D Shape Compression Using HoloimageImage Processing10.4018/978-1-4666-3994-2.ch047(939-956)Online publication date: 2013
  • (2013)Three-bit representation of three-dimensional range dataApplied Optics10.1364/AO.52.00228652:11(2286)Online publication date: 4-Apr-2013
  • (2013)3D range geometry video compression with the H.264 codecOptics and Lasers in Engineering10.1016/j.optlaseng.2012.12.02151:5(620-625)Online publication date: May-2013
  • (2013)Numerical Computation of Surface Conformal MappingsComputational Methods and Function Theory10.1007/BF0332188511:2(747-787)Online publication date: 2-Apr-2013
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media