Abstract
We demonstrate a method for reconstructing the shape of a deformed surface from a single view. After decomposing an image into irradiance and albedo components, we combine normal cues from shading and texture to produce a field of unambiguous normals. Using these normals, we reconstruct the 3D geometry. Our method works in two regimes: either requiring the frontal appearance of the texture or building it automatically from a series of images of the deforming texture. We can recover geometry with errors below four percent of object size on arbitrary textures, and estimate specific geometric parameters using a custom texture even more accurately.
Original language | English (US) |
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Title of host publication | Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006 |
Pages | 1809-1816 |
Number of pages | 8 |
DOIs | |
State | Published - Dec 22 2006 |
Event | 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006 - New York, NY, United States Duration: Jun 17 2006 → Jun 22 2006 |
Publication series
Name | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
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Volume | 2 |
ISSN (Print) | 1063-6919 |
Other
Other | 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006 |
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Country | United States |
City | New York, NY |
Period | 6/17/06 → 6/22/06 |
Fingerprint
Keywords
- 3D reconstruction
- Deformable models
- Shape-from-shading
- Shape-from-texture
- Surface tracking
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
Cite this
Combining cues : Shape from shading and texture. / White, Ryan; Forsyth, David Alexander.
Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. 2006. p. 1809-1816 1640973 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Combining cues
T2 - Shape from shading and texture
AU - White, Ryan
AU - Forsyth, David Alexander
PY - 2006/12/22
Y1 - 2006/12/22
N2 - We demonstrate a method for reconstructing the shape of a deformed surface from a single view. After decomposing an image into irradiance and albedo components, we combine normal cues from shading and texture to produce a field of unambiguous normals. Using these normals, we reconstruct the 3D geometry. Our method works in two regimes: either requiring the frontal appearance of the texture or building it automatically from a series of images of the deforming texture. We can recover geometry with errors below four percent of object size on arbitrary textures, and estimate specific geometric parameters using a custom texture even more accurately.
AB - We demonstrate a method for reconstructing the shape of a deformed surface from a single view. After decomposing an image into irradiance and albedo components, we combine normal cues from shading and texture to produce a field of unambiguous normals. Using these normals, we reconstruct the 3D geometry. Our method works in two regimes: either requiring the frontal appearance of the texture or building it automatically from a series of images of the deforming texture. We can recover geometry with errors below four percent of object size on arbitrary textures, and estimate specific geometric parameters using a custom texture even more accurately.
KW - 3D reconstruction
KW - Deformable models
KW - Shape-from-shading
KW - Shape-from-texture
KW - Surface tracking
UR - http://www.scopus.com/inward/record.url?scp=33845581708&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33845581708&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2006.79
DO - 10.1109/CVPR.2006.79
M3 - Conference contribution
AN - SCOPUS:33845581708
SN - 0769525970
SN - 9780769525976
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 1809
EP - 1816
BT - Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006
ER -