Special Section on Advances on Distributed Smart Cameras

Efficient graphics processing unit–based voxel carving for surveillance

[+] Author Affiliations
Antje Ober-Gecks, Marius Zwicker, Dominik Henrich

University of Bayreuth, Institute for Computer Science, Chair for Applied Computer Science III, Bayreuth 95440, Germany

J. Electron. Imaging. 25(4), 041011 (Jul 07, 2016). doi:10.1117/1.JEI.25.4.041011
History: Received January 21, 2016; Accepted June 3, 2016
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Abstract.  A graphics processing unit (GPU)-based implementation of a space carving method for the reconstruction of the photo hull is presented. In particular, the generalized voxel coloring with item buffer approach is transferred to the GPU. The fast computation on the GPU is realized by an incrementally calculated standard deviation within the likelihood ratio test, which is applied as color consistency criterion. A fast and efficient computation of complete voxel-pixel projections is provided using volume rendering methods. This generates a speedup of the iterative carving procedure while considering all given pixel color information. Different volume rendering methods, such as texture mapping and raycasting, are examined. The termination of the voxel carving procedure is controlled through an anytime concept. The photo hull algorithm is examined for its applicability to real-world surveillance scenarios as an online reconstruction method. For this reason, a GPU-based redesign of a visual hull algorithm is provided that utilizes geometric knowledge about known static occluders of the scene in order to create a conservative and complete visual hull that includes all given objects. This visual hull approximation serves as input for the photo hull algorithm.

© 2016 SPIE and IS&T

Citation

Antje Ober-Gecks ; Marius Zwicker and Dominik Henrich
"Efficient graphics processing unit–based voxel carving for surveillance", J. Electron. Imaging. 25(4), 041011 (Jul 07, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.4.041011


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