Recovery of hierarchical part structure of 3-D shape from range image

Y. Sato, Jun Ohya, K. Ishii

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

A formulation of the part decomposition problem motived by the minimum-description-length (MDL) criteria is presented. Unlike previous MDL approaches which use analytic functions, a general geometric constraint, convexity, is used as a part constraint. Therefore, the method is suitable for complex natural shapes such as human faces. The recovery process consists of a bottom-up grouping process and a subsequent optimization process based on the MDL criteria. The definite causal relations of part structure between different sensitivity levels are used to recover the hierarchy of part structure. Part decomposition experiments involving real 3-D range images are reported.

本文言語English
ホスト出版物のタイトルProceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
出版社IEEE Computer Society
ページ699-702
ページ数4
ISBN(電子版)0818628553
DOI
出版ステータスPublished - 1992 1 1
外部発表はい
イベント1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States
継続期間: 1992 6 151992 6 18

出版物シリーズ

名前Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
1992-June
ISSN(印刷版)1063-6919

Conference

Conference1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
国/地域United States
CityChampaign
Period92/6/1592/6/18

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識

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