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Accurate Real-Time Multi-Camera Stereo-Matching on the GPU for 3D Reconstruction

  • 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.

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Author:Klaus Denker, Georg Umlauf
Parent Title (English):Journal of WSCG (Cumulative issue)
Volume:Vol. 19, Issue 1-3
Publisher:World Society for Computer Graphics
Place of publication:Plzen, Czech Republik
Document Type:Conference Proceeding
Year of Publication:2011
Release Date:2024/03/05
Tag:Stereo-matching; Multi-camera; Real-time; GPU; Computer vision
First Page:9
Last Page:16
Institutes:Institut für Optische Systeme - IOS
Open Access?:Ja
Licence (German):License LogoUrheberrechtlich geschützt