Paper
31 October 2014 Asymmetric multiview image coding based on feature matching
Wenjun Tao, Huihui Bai, Meiqin Liu, Yao Zhao
Author Affiliations +
Abstract
In this paper, we propose a method of feature matching based asymmetric three-dimensional (3D) image coding with hierarchical reconstruction quality. At the encoder, for the main view the standard intra coding can be applied to obtain high reconstruction quality while for its neighboring views extracted feature descriptors can be utilized to calculate transformation matrix between views. The parameters of transformation matrix can be transmitted by very low bit rate and achieve the preliminary reconstruction. Furthermore, the residues can be exploited to improve the performance. The experimental results have shown that the proposed scheme can reach a very high compression ratio.
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Wenjun Tao, Huihui Bai, Meiqin Liu, and Yao Zhao "Asymmetric multiview image coding based on feature matching", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732C (31 October 2014); https://doi.org/10.1117/12.2071181
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KEYWORDS
Image compression

3D image processing

Visualization

Image quality

3D image reconstruction

Feature extraction

3D optical data storage

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