Compensated Visual Hull with GPU-Based Optimization
CVSSP, FEPS, University of Surrey, Guildford, Surrey, GU2 7XH, UK
(2008) Volume: 5353, Publisher: Springer Berlin Heidelberg, Pages: 573-582
We propose an advanced visual hull technique to compensate for outliers using the reliabilities of silhouettes. The proposed method consists of a foreground extraction technique with multiple thresholds based on the Generalized Gaussian Family model and a compensated visual hull algorithm. We proved that the proposed technique constructs a compact visual hull even in the presence of segmentation errors and occlusions. The 3D reconstruction and rendering processes are implemented on a graphics processing unit to greatly accelerate computation time.
March 15, 2011 by hgpu