A parallelization method for multiview stereo

Masaru Fukushi, Naoki Sekiguchi, Toru Abe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a parallelization method for 3D shape reconstruction with voxel-based multiview stereo. In our approach, a target voxel space is divided into several domains, each of which is assigned to a different PE (processing element) to be processed in parallel. To reduce the amount of inter-PE communication, our proposed method divides the voxel space by planes passing through a virtual viewpoint computed from a configuration of actual viewpoints. Moreover, to reduce the idle time of PEs, our method performs dynamic load balancing flexibly, based on the estimated effect of it. Experimental results indicate that our method can reduce the processing time by 35% at 32 PEs as compared to a naive parallelization method.

Original languageEnglish
Title of host publicationProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
Pages385-388
Number of pages4
Publication statusPublished - 2011 Dec 1
Event12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
Duration: 2011 Jun 132011 Jun 15

Publication series

NameProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Other

Other12th IAPR Conference on Machine Vision Applications, MVA 2011
CountryJapan
CityNara
Period11/6/1311/6/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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