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GTC ON-DEMAND

Computer Vision
Presentation
Media
GPU-Friendly Multi-View Stereo Reconstruction Using Surfel Representation and Graph Cuts
Speakers:
In Kyu Park
- Inha University
Abstract:
We present a new surfel (surface element) based multi-view stereo algorithm which runs entirely on GPU. We utilize flexibility of surfel-based 3D shape representation and global optimization by graph cuts in a same framework.The orientation of the constructed surfel candidates imposes an effective constraint that reduces the effect of the minimal surface bias. The entire processing pipeline is implemented on the latest GPU to speed up the processing significantly. Experimental results show that the proposed approach reconstructs the 3D shape of an object accurately and efficiently, which runs more than 100 times faster than on CPU.
 
Topics:
Computer Vision
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10F07
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