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Fakultät für Mathematik, Physik und Informatik

Angewandte Informatik III - Robotik und eingebettete Systeme - Prof. Dr. Dominik HENRICH

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Efficient graphics processing unit–based voxel carving for surveillance
Antje Ober-Gecks , Dominik Henrich , Marius Zwicker

Abstract (english)
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.

Publication data

Year: 2016
Publication date: 01. July 2016
Source: Journal of Electronic Imaging
Project: SIMERO
Keywords (english): visual hull
Referrer: https://www.ai3.uni-bayreuth.de/de/publikationen/resypub/index.php?mode=pub_show&pub_ref=obergecks2016a
Free text: http://dx.doi.org/10.1117/1.JEI.25.4.041011


  TITLE             = "Efficient graphics processing unit–based voxel carving for surveillance",
  AUTHOR            = "Ober-Gecks, Antje and Henrich, Dominik and Zwicker, Marius",
  YEAR              = "2016",
  JOURNAL           = "Journal of Electronic Imaging",
  HOWPUBLISHED      = "\url{https://www.ai3.uni-bayreuth.de/de/publikationen/resypub/index.php?mode=pub_show&pub_ref=obergecks2016a}",
  NOTE              = "http://dx.doi.org/10.1117/1.JEI.25.4.041011",


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