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3D posture representation using meshless parameterization with cylindrical virtual boundary

  • Soongsil University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

3D data is getting popular which offers more details and accurate information for posture recognition. However, it leads to computational hurdles and is not suitable for real time application. Therefore, we introduce a dimension reduction method using meshless parameterization with cylindrical virtual boundary for 3D posture representation. The meshless parameterization is based on convex combination approach which has good properties, such as fast computation and one-to-one mapping characteristic. This method depends on the number of boundary points. However, 3D posture reconstruction using silhouettes extraction from multiple cameras had resulted various number of boundary points. Therefore, a cylindrical virtual boundary points is introduced to overcome the inconsistency of 3D reconstruction boundary points. The proposed method generates five slices of 2D parametric appearance to represent a 3D posture for recognition purpose.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings
PublisherSpringer Verlag
Pages449-461
Number of pages13
ISBN (Print)9783540771289
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007 - Santiago, Chile
Duration: 17 Dec 2007 → 19 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007
Country/TerritoryChile
CitySantiago
Period17/12/07 → 19/12/07

Keywords

  • 3D voxel
  • Cylindrical virtual boundary
  • Dimension reduction
  • Meshless parameterization
  • Posture recognition

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