Smoothed local generalized cones: An axial representation of 3D shapes

Y. Sato, J. Ohya, K. Ishii

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

The recovery of viewpoint-independent descriptions of 3D shapes from two-and-one-half dimensional images. A novel 3D shape representation called the smoothed local generalized cones (SLGCs) is proposed. This representation is suitable for recovery of the axis, because the local constraint that characterizes a data set corresponding to the same axis point, namely, the local generalized cone (LGC), is explicitly defined. The extracted axis can be used as a basis for determining a natural parameterization of the object surface. Using this parameterization, the deformable surface fitting problem results in a linear least-squares problem, so stable volumetric recovery is possible. Recovery experiments involving real 3D 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56-62
ページ数7
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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