The scan&track virtual environment

Sudhanshu Kumar Semwal, Jun Ohya

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

2 Citations (Scopus)

Abstract

We are developing the Scan & Track virtual environment (VE) using multiple cameras. The Scan and Track VE is based upon a new method for 3D position estimation called the active-space indexing method. In addition, we have also developed the geometric-imprints algorithm for signicant points extraction from multiple camera-images. Together, the geometric-imprints algorithm and the active-space indexing method, pro-vide a promising and elegant solution to several inherent challenges facing camera-based virtual environments. Some of these are: (a) correspon-dence problem across multiple camera images, (b) discriminating multiple participants in virtual environments, (c) avatars (synthetic actors) representing participants, (d) occlusion. We also address a fundamen-tal issue: can virtual environments be powerful enough to understand human-participants.

Original languageEnglish
Title of host publicationVirtual Worlds - 1st International Conference, VW 1998, Proceedings
EditorsJean-Claude Heudin
PublisherSpringer Verlag
Pages63-80
Number of pages18
ISBN (Print)3540647805, 9783540647805
Publication statusPublished - 1998 Jan 1
Externally publishedYes
Event1st International Conference on Virtual Worlds, VW 1998 - Paris, France
Duration: 1998 Jul 11998 Jul 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1434
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Virtual Worlds, VW 1998
CountryFrance
CityParis
Period98/7/198/7/3

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Semwal, S. K., & Ohya, J. (1998). The scan&track virtual environment. In J-C. Heudin (Ed.), Virtual Worlds - 1st International Conference, VW 1998, Proceedings (pp. 63-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1434). Springer Verlag.