TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Denker, Klaus
A1  - Umlauf, Georg
T1  - Accurate Real-Time Multi-Camera Stereo-Matching on the GPU for 3D Reconstruction
T2  - Journal of WSCG (Cumulative issue)
N2  - 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.
KW  - Stereo-matching
KW  - Multi-camera
KW  - Real-time
KW  - GPU
KW  - Computer vision
Y1  - 2011
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:kon4-opus4-51390
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:kon4-opus4-51390
SN  - 1213-6972
SS  - 1213-6972
SN  - 1213-6964
SS  - 1213-6964
SN  - 978-80-86943-84-8
SB  - 978-80-86943-84-8
VL  - Vol. 19, Issue 1-3
SP  - 9
EP  - 16
PB  - World Society for Computer Graphics
CY  - Plzen, Czech Republik
ER  -