Title :
High-Performance Multi-View Reconstruction
Author :
Zach, Christopher ; Sormann, Mario ; Karner, Konrad
Author_Institution :
VRVis Res. Center Graz, Graz
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;
Conference_Titel :
3D Data Processing, Visualization, and Transmission, Third International Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-7695-2825-2
DOI :
10.1109/3DPVT.2006.74