Real-time online video object silhouette extraction using graph cuts on the GPU

Zachary A. Garrett, Hideo Saito

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

Being able to find the silhouette of an object is a very important front-end processing step for many high-level computer vision techniques, such as Shape-from-Silhouette 3D reconstruction methods, object shape tracking, and pose estimation. Graph cuts have been proposed as a method for finding very accurate silhouettes which can be used as input to such high level techniques, but graph cuts are notoriously computation intensive and slow. Leading CPU implementations can extract a silhouette from a single QVGA image in 100 milliseconds, with performance dramatically decreasing with increased resolution. Recent GPU implementations have been able to achieve performance of 6 milliseconds per image by exploiting the intrinsic properties of the lattice graphs and the hardware model of the GPU. However, these methods are restricted to a subclass of lattice graphs and are not generally applicable. We propose a novel method for graph cuts on the GPU which places no limits on graph configuration and which is able to achieve comparable real-time performance in online video processing scenarios.

本文言語English
ホスト出版物のタイトルImage Analysis and Processing - ICIAP 2009 - 15th International Conference, Proceedings
ページ985-994
ページ数10
DOI
出版ステータスPublished - 2009
イベント15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings - Vietri sul Mare, Italy
継続期間: 2009 9 82009 9 11

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5716 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings
CountryItaly
CityVietri sul Mare
Period09/9/809/9/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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