Title: Accurate real-time multi-camera stereo-matching on the GPU for 3D reconstruction
Authors: Denker, Klaus
Umlauf, Georg
Citation: Journal of WSCG. 2011, vol. 19, no. 1-3, p. 9-16.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: článek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_J_WSCG_1-3.pdf
ISSN: 1213–6972 (hardcopy)
1213–6980 (CD-ROM)
1213–6964 (on-line)
Keywords: 3D rekonstrukce;grafické procesory;korespondenční problém;počítačové vidění
Keywords in different language: 3D reconstruction;graphic processing units;stereo matching;computer vision
Abstract: Using multi-camera matching techniques for 3d reconstruction there is usually the trade-off between the quality of the computed depth map and the speed of the computations. Whereas high quality matching methods take several seconds to several minutes to compute a depth map for one set of images, real-time methods achieve only low quality results. In this paper we present a multi-camera matching method that runs in real-time and yields high resolution depth maps. Our method is based on a novel multi-level combination of normalized cross correlation, deformed matching windows based on the multi-level depth map information, and sub-pixel precise disparity maps. The whole process is implemented completely on the GPU. With this approach we can process four 0.7 megapixel images in 129 milliseconds to a full resolution 3d depth map. Our technique is tailored for the recognition of non-technical shapes, because our target application is face recognition.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Number 1-3 (2011)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/1239

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