DocumentCode
461915
Title
High-Performance Multi-View Reconstruction
Author
Zach, Christopher ; Sormann, Mario ; Karner, Konrad
Author_Institution
VRVis Res. Center Graz, Graz
fYear
2006
fDate
14-16 June 2006
Firstpage
113
Lastpage
120
Abstract
We present a high performance reconstruction approach, which generates true 3D models from multiple views with known camera parameters. The complete pipeline from depth map generation over depth image integration to the final 3D model visualization is performed on programmable graphics processing units (GPUs). The proposed pipeline is suitable for long image sequences and uses a plane- sweep depth estimation procedure optionally employing robust image similarity functions to generate a set of depth images. The subsequent volumetric fusion step combines these depth maps into an impicit surface representation of the final model, which can be directly displayed using GPU- based ray casting methods. Depending on the number of input views and the desired resolution of the final model the computing times range from several seconds to a few minutes. The quality of the obtained models is illustrated with real-world datasets.
Keywords
data visualisation; image reconstruction; image sequences; ray tracing; GPU; depth image integration; depth map generation; final 3D model visualization; image sequences; multiview reconstruction; plane-sweep depth estimation; programmable graphics processing units; ray casting; robust image similarity functions; true 3D models; volumetric fusion; Cameras; Casting; Fusion power generation; Graphics; Image generation; Image reconstruction; Image sequences; Pipelines; Robustness; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
3D Data Processing, Visualization, and Transmission, Third International Symposium on
Conference_Location
Chapel Hill, NC
Print_ISBN
0-7695-2825-2
Type
conf
DOI
10.1109/3DPVT.2006.74
Filename
4155717
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