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Low-Complexity Stereo Matching and Viewpoint Interpolation in Embedded Consumer Applications
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Author(s): Lu Zhang (IMEC, Belgium), Ke Zhang (IMEC, Belgium), Jiangbo Lu (Advanced Digital Sciences Center, Singapore), Tian-Sheuan Chang (National Chiao-Tung University, Taiwan)and Gauthier Lafruit (IMEC, Belgium)
Copyright: 2012
Pages: 24
Source title:
Depth Map and 3D Imaging Applications: Algorithms and Technologies
Source Author(s)/Editor(s): Aamir Saeed Malik (Universiti Teknologi Petronas, Malaysia), Tae Sun Choi (Gwangju Institute of Science and Technology, Korea)and Humaira Nisar (Universiti Tunku Abdul Rahman, Malaysia)
DOI: 10.4018/978-1-61350-326-3.ch016
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Abstract
Viewpoint interpolation is the process of synthesizing plausible in-between views - so-called virtual camera views - from a couple of surrounding fixed camera views. To make viewpoint interpolation possible for low/moderate-power consumer applications, a further quality/complexity trade-off study is required to conciliate algorithmic quality to architectural performance. In essence, the inter-dependencies between the different algorithmic steps in the processing chain are thoroughly analyzed, aiming at an overall quality-performance model that pinpoints which algorithmic functionalities can be simplified with minor global input-output quality degradation, while maximally reducing their implementation complexity w.r.t. arithmetic and line buffer requirements. Compared to state-of-the-art CPU and GPU platforms running at several GHz clock speed, our low-power 100 MHz FPGA implementation achieves speedups with one to two orders of magnitude, without impeding on the visual quality, reaching over 100 frames per second VGA high-quality, 64-disparity search range stereo matching and enabling viewpoint interpolation in low-power, embedded applications.
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