Shape modeling from multiple view images using GAs

Satoshi Kirihara, Hideo Saito

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Shape modeling is a very important issue for many study, tbr example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method of object modeling from multiple view images using genetic algorithms (GAs) is proposed. In this method, a similarity between model and every input image is calculated, and then the model which has the maximum similarity is found. For finding the model of maximum similarity, genetic algorithms are used as the optimization method. In the genetic algorithm, the sharing scheme is employed for efficient detection of multiple solution, because some shape may be represented by multiple shape models. Some results of modeling experiments from real multiple images demonstrate that the proposed method can robustly generate model by using the GA.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社Springer Verlag
ページ448-454
ページ数7
1352
ISBN(印刷版)3540639314, 9783540639312
出版ステータスPublished - 1997
イベント3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, Hong Kong
継続期間: 1998 1 81998 1 10

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)
1352
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other3rd Asian Conference on Computer Vision, ACCV 1998
国/地域Hong Kong
CityHong Kong
Period98/1/898/1/10

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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