Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| Publisher | IEEE Computer Society |
| Pages | 56-62 |
| Number of pages | 7 |
| ISBN (Electronic) | 0818628553 |
| DOIs | |
| Publication status | Published - 1992 Jan 1 |
| Externally published | Yes |
| Event | 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States Duration: 1992 Jun 15 → 1992 Jun 18 |
Publication series
| Name | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
|---|---|
| Volume | 1992-June |
| ISSN (Print) | 1063-6919 |
Conference
| Conference | 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 |
|---|---|
| Country | United States |
| City | Champaign |
| Period | 92/6/15 → 92/6/18 |
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ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
Cite this
Smoothed local generalized cones : An axial representation of 3D shapes. / Sato, Y.; Ohya, Jun; Ishii, K.
Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 1992. p. 56-62 223227 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Smoothed local generalized cones
T2 - An axial representation of 3D shapes
AU - Sato, Y.
AU - Ohya, Jun
AU - Ishii, K.
PY - 1992/1/1
Y1 - 1992/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33747487793&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33747487793&partnerID=8YFLogxK
U2 - 10.1109/CVPR.1992.223227
DO - 10.1109/CVPR.1992.223227
M3 - Conference contribution
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 56
EP - 62
BT - Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PB - IEEE Computer Society
ER -