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3D Shape Compression Using Holoimage

3D Shape Compression Using Holoimage

Nikolaus Karpinsky, Song Zhang
Copyright: © 2012 |Pages: 18
ISBN13: 9781613503263|ISBN10: 1613503261|EISBN13: 9781613503270
DOI: 10.4018/978-1-61350-326-3.ch005
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MLA

Karpinsky, Nikolaus, and Song Zhang. "3D Shape Compression Using Holoimage." Depth Map and 3D Imaging Applications: Algorithms and Technologies, edited by Aamir Saeed Malik, et al., IGI Global, 2012, pp. 87-104. https://doi.org/10.4018/978-1-61350-326-3.ch005

APA

Karpinsky, N. & Zhang, S. (2012). 3D Shape Compression Using Holoimage. In A. Malik, T. Choi, & H. Nisar (Eds.), Depth Map and 3D Imaging Applications: Algorithms and Technologies (pp. 87-104). IGI Global. https://doi.org/10.4018/978-1-61350-326-3.ch005

Chicago

Karpinsky, Nikolaus, and Song Zhang. "3D Shape Compression Using Holoimage." In Depth Map and 3D Imaging Applications: Algorithms and Technologies, edited by Aamir Saeed Malik, Tae Sun Choi, and Humaira Nisar, 87-104. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-326-3.ch005

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Abstract

As 3D becomes more ubiquitous with the advent of 3D scanning and display technology, methods of compressing and transmitting 3D data need to be explored. One method of doing such is depth mapping, in which 3D depth data is compressed into a 2D image, and then 2D image processing techniques may be leveraged. This chapter presents a technique of depth mapping 3D scenes into 2D images, entitled Holoimage. In this technique, digital fringe projection, a special kind of structured light technique from optical metrology, is used to encode and decode 3D scenes pixel-by-pixel. Due to the pixel-by-pixel 3D data processing nature, this technique can be used on parallel hardware to realize real-time speed for high definition 3D video encoding and decoding.

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