A parallelization method for multi-stereo 3D shape reconstruction

Naoki Sekiguchi, Masaru Fukushi, Toru Abe, Tetsuo Kinoshita

研究成果: Conference contribution

抄録

This paper proposes a parallelization method for voxel-based 3D shape reconstruction. The voxel-based technique offers accurate 3D shape reconstruction by integrating information obtained from multiple images; however, it requires huge computation time for the reconstruction. Our main approach is parallel processing by voxel space division, which divides the voxel space by planes along with the lines passing through a virtual view point and assigns the process for each divided voxel space to a processing element (PE) individually. This makes it possible to reduce the amount of inter-PE communication. In addition to this, we introduce a method to decrease the amount of computation by controlling iteration count of iterative process for each voxel. Experimental results show that our method more efficiently reduces the computation time than simple horizontal domain division method.

本文言語English
ホスト出版物のタイトル2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
ページ4493-4496
ページ数4
DOI
出版ステータスPublished - 2010 12 1
イベント2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
継続期間: 2010 9 262010 9 29

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
国/地域Hong Kong
CityHong Kong
Period10/9/2610/9/29

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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