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3-D Shape Compression Using Holoimage
Reference: 3821
Summary: ISU researchers have developed a method for storing data acquired during 3-D imaging that may have potential for real-time 3-D data transmission.
Description: The use of 3-D imaging technology has become increasingly commonplace for industrial and scientific applications since recent advancements in 3-D imaging and computational technologies have made acquiring 3-D data simpler than previously possible.  However, because of the throughput and size of the data generated through 3-D imaging systems, it is difficult to store and transmit 3-D data simultaneously; this is particularly true for new 3-D scanning techniques being developed that create unstructured point clouds of 3-D data—as these methods improve, more data is generated and the file sizes of the point clouds quickly grow.  To address this need, ISU researchers have developed an approach, termed Holoimage, for encoding a 3-D surface shape into a 2-D 24 bit color image; the 2-D images can subsequently be compressed using standard 2-D techniques.  This method can compress point clouds from any 3-D scanner and may also potentially enable real-time 3-D video transmission and compression. This technology may also allow for live 3-D telecommunication and broadcasting. 
Advantage:
  • Efficient (enables compression of 3D imaging data for real-time storage and transmission)
  • Versatile (compression method works with a variety of file formats)
  • Robust (provides good image reconstruction quality)
Application: Data management for 3-D scanning
Stage: Ready for commercialization: a prototype implementation of the algorithm can be made immediately available for testing, and ISU is seeking partners interested in commercializing this technology.
References: 1: “Composite phase-shifting algorithm for 3-D shape compression”, N. Karpinsky and S. Zhang, 2010, Opt. Eng. 49(6), 063604. doi:10.1117/1.3456632.
2: “Recent progresses on real-time 3D shape measurement using digital fringe projection techniques,” Song Zhang, 2010, Opt. Laser Eng. 40:149-158.
Supporting Documents:
ISURF #3821 Supporting Document
Patents: Patent(s) Applied For
License Associate: Craig Forney
E-mail: licensing@iastate.edu
Phone: 515-294-9513
Keywords: 3D scanning, fringe analysis, structured light, phase-shifting, point cloud compression
Entry Date: July 6, 2010
Revised Date: January 11, 2013

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