Expression and motion control of hair using fast collision detection methods

Makoto Ando, Shigeo Morishima

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

5 Citations (Scopus)

Abstract

A trial to generate the object in the natural world by computer graphics is now actively done. Normally, huge computing power and storage capacity are necessary to make real and natural movement of the human's hair. In this paper, a technique to synthesize human's hair with short processing time and little storage capacity is discussed. A new Space Curve Model and Rigid Segment Model are proposed. And also high speed collision detection with the human's body is discussed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages463-470
Number of pages8
Volume1024
ISBN (Print)9783540606970
DOIs
Publication statusPublished - 1995
Externally publishedYes
Event3rd International Computer Science Conference, ICSC 1995 - Hong Kong, Hong Kong
Duration: 1995 Dec 111995 Dec 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1024
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Computer Science Conference, ICSC 1995
CountryHong Kong
CityHong Kong
Period95/12/1195/12/13

Fingerprint

Collision Detection
Motion Control
Motion control
Storage Capacity
Computer graphics
Space Curve
High Speed
Processing
Necessary
Computing
Model
Human

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ando, M., & Morishima, S. (1995). Expression and motion control of hair using fast collision detection methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1024, pp. 463-470). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1024). Springer Verlag. https://doi.org/10.1007/3-540-60697-1_135

Expression and motion control of hair using fast collision detection methods. / Ando, Makoto; Morishima, Shigeo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1024 Springer Verlag, 1995. p. 463-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1024).

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

Ando, M & Morishima, S 1995, Expression and motion control of hair using fast collision detection methods. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1024, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1024, Springer Verlag, pp. 463-470, 3rd International Computer Science Conference, ICSC 1995, Hong Kong, Hong Kong, 95/12/11. https://doi.org/10.1007/3-540-60697-1_135
Ando M, Morishima S. Expression and motion control of hair using fast collision detection methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1024. Springer Verlag. 1995. p. 463-470. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-60697-1_135
Ando, Makoto ; Morishima, Shigeo. / Expression and motion control of hair using fast collision detection methods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1024 Springer Verlag, 1995. pp. 463-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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