Abstract
We present a novel voxelization framework for holistic Three-Dimensional (3D) object representation that accounts for distinct surface features. A voxelization of an object is performed by encoding an attribute or set of attributes of the surface region contained within each voxel occupying the space that the object resides in. To our knowledge, the voxel structures employed in previous methods consist of uniformly-sized voxels. The proposed framework, in contrast, generates structures consisting of variable-sized voxels that are adaptively distributed in higher concentration near distinct surface features. The primary advantage of the proposed method over its fixed resolution counterparts is that it yields a significantly more concise feature representation that is demonstrated to achieve a superior recognition performance. An evaluation of the method is conducted on a 3D ear recognition task. The ear provides a challenging case study because of its high degree of inter-subject similarity.
| Original language | English |
|---|---|
| Title of host publication | 2011 International Joint Conference on Biometrics, IJCB 2011 |
| DOIs | |
| State | Published - Dec 1 2011 |
| Event | 2011 International Joint Conference on Biometrics, IJCB 2011 - Washington, DC, United States Duration: Oct 11 2011 → Oct 13 2011 |
Other
| Other | 2011 International Joint Conference on Biometrics, IJCB 2011 |
|---|---|
| Country | United States |
| City | Washington, DC |
| Period | 10/11/11 → 10/13/11 |
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ASJC Scopus subject areas
- Biotechnology
Cite this
An adaptive resolution voxelization framework for 3D ear recognition. / Cadavid, Steven; Fathy, Sherin; Zhou, Jindan; Abdel-Mottaleb, Mohamed.
2011 International Joint Conference on Biometrics, IJCB 2011. 2011. 6117598.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - An adaptive resolution voxelization framework for 3D ear recognition
AU - Cadavid, Steven
AU - Fathy, Sherin
AU - Zhou, Jindan
AU - Abdel-Mottaleb, Mohamed
PY - 2011/12/1
Y1 - 2011/12/1
N2 - We present a novel voxelization framework for holistic Three-Dimensional (3D) object representation that accounts for distinct surface features. A voxelization of an object is performed by encoding an attribute or set of attributes of the surface region contained within each voxel occupying the space that the object resides in. To our knowledge, the voxel structures employed in previous methods consist of uniformly-sized voxels. The proposed framework, in contrast, generates structures consisting of variable-sized voxels that are adaptively distributed in higher concentration near distinct surface features. The primary advantage of the proposed method over its fixed resolution counterparts is that it yields a significantly more concise feature representation that is demonstrated to achieve a superior recognition performance. An evaluation of the method is conducted on a 3D ear recognition task. The ear provides a challenging case study because of its high degree of inter-subject similarity.
AB - We present a novel voxelization framework for holistic Three-Dimensional (3D) object representation that accounts for distinct surface features. A voxelization of an object is performed by encoding an attribute or set of attributes of the surface region contained within each voxel occupying the space that the object resides in. To our knowledge, the voxel structures employed in previous methods consist of uniformly-sized voxels. The proposed framework, in contrast, generates structures consisting of variable-sized voxels that are adaptively distributed in higher concentration near distinct surface features. The primary advantage of the proposed method over its fixed resolution counterparts is that it yields a significantly more concise feature representation that is demonstrated to achieve a superior recognition performance. An evaluation of the method is conducted on a 3D ear recognition task. The ear provides a challenging case study because of its high degree of inter-subject similarity.
UR - http://www.scopus.com/inward/record.url?scp=84862914488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862914488&partnerID=8YFLogxK
U2 - 10.1109/IJCB.2011.6117598
DO - 10.1109/IJCB.2011.6117598
M3 - Conference contribution
SN - 9781457713583
BT - 2011 International Joint Conference on Biometrics, IJCB 2011
ER -