An Accurate Shape Reconstruction Method by Integrating Visual Hulls in Time Sequences

• Toyoura Masahiro

  Graduate School of Informatics, Kyoto University

• Iiyama Masaaki

  Academic Center for Computing and Media Studies, Kyoto University

• Kakusho Koh

  Academic Center for Computing and Media Studies, Kyoto University

• Minoh Michihiko

  Academic Center for Computing and Media Studies, Kyoto University

Bibliographic Information

Other Title

• 時系列視体積の統合による3次元復元形状の再現性の向上

Abstract

We propose a method of improvement of accuracy of reconstructed shape. When rigid object motion of the target is acquired, we can integrate the volume intersections in time sequences. This integration is equivalent to increasing the number of cameras. The rigid object motion of the target is calculated by tracking feature points on each intersection. The landmarks on the intersection are adopted as feature points, because they are observed from anywhere and any directions. In the experiments, we reconstruct shape of a simulated model. As a result, we can obtain better accuracy in shape from integrated intersection than from an intersection at one time.

Journal

• Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan

  Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan 31 (0), 35-36, 2003

  The Institute of Image Electronics Engineers of Japan

Keywords

• shape recovery
• volume intersection method
• feature point tracking
• skeletonization

Details

• CRID: 1390282680587785600
• NII Article ID: 130004569750
• DOI: 10.11371/aiieej.31.0.35.0
• ISSN: 24364398
• ISSN: 24364371
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed