Abstract
In our previous research [13], we created a database of 3D textured face models of people using stereo images and a generic face mesh model for 3D face recognition application. Consequently, in this paper we make use of this available database and propose an algorithm for synthesizing multiple view 2D facial images of each subject, which extends the number of images used in the training stage of a 2D face recognition system. The main contributions of our work are: a) proposing a novel 3D model-based face pose and scale normalizations before creating the synthesized 2D database from its 3D counterpart and b) proposing a model-based facial area segmentation and normalization to a given 2D probe facial image. Recognition experiments, using near frontal probe facial images and the extended synthesized database, demonstrate improved 2D recognition rate.
| Original language | English |
|---|---|
| Title of host publication | 2011 IEEE GCC Conference and Exhibition, GCC 2011 |
| Pages | 178-181 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Jun 9 2011 |
| Event | 2011 IEEE GCC Conference and Exhibition, GCC 2011 - Dubai, United Arab Emirates Duration: Feb 19 2011 → Feb 22 2011 |
Other
| Other | 2011 IEEE GCC Conference and Exhibition, GCC 2011 |
|---|---|
| Country | United Arab Emirates |
| City | Dubai |
| Period | 2/19/11 → 2/22/11 |
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Keywords
- Face analysis
- face normalization
- face pose
- face recognition
- face synthesis
ASJC Scopus subject areas
- Hardware and Architecture
- Signal Processing
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Normalized 3D to 2D model-based facial image synthesis for 2D model-based face recognition. / Ansari, A. Nasser; Mahoor, Mohammad H.; Abdel-Mottaleb, Mohamed.
2011 IEEE GCC Conference and Exhibition, GCC 2011. 2011. p. 178-181 5752482.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Normalized 3D to 2D model-based facial image synthesis for 2D model-based face recognition
AU - Ansari, A. Nasser
AU - Mahoor, Mohammad H.
AU - Abdel-Mottaleb, Mohamed
PY - 2011/6/9
Y1 - 2011/6/9
N2 - In our previous research [13], we created a database of 3D textured face models of people using stereo images and a generic face mesh model for 3D face recognition application. Consequently, in this paper we make use of this available database and propose an algorithm for synthesizing multiple view 2D facial images of each subject, which extends the number of images used in the training stage of a 2D face recognition system. The main contributions of our work are: a) proposing a novel 3D model-based face pose and scale normalizations before creating the synthesized 2D database from its 3D counterpart and b) proposing a model-based facial area segmentation and normalization to a given 2D probe facial image. Recognition experiments, using near frontal probe facial images and the extended synthesized database, demonstrate improved 2D recognition rate.
AB - In our previous research [13], we created a database of 3D textured face models of people using stereo images and a generic face mesh model for 3D face recognition application. Consequently, in this paper we make use of this available database and propose an algorithm for synthesizing multiple view 2D facial images of each subject, which extends the number of images used in the training stage of a 2D face recognition system. The main contributions of our work are: a) proposing a novel 3D model-based face pose and scale normalizations before creating the synthesized 2D database from its 3D counterpart and b) proposing a model-based facial area segmentation and normalization to a given 2D probe facial image. Recognition experiments, using near frontal probe facial images and the extended synthesized database, demonstrate improved 2D recognition rate.
KW - Face analysis
KW - face normalization
KW - face pose
KW - face recognition
KW - face synthesis
UR - http://www.scopus.com/inward/record.url?scp=79957979232&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957979232&partnerID=8YFLogxK
U2 - 10.1109/IEEEGCC.2011.5752482
DO - 10.1109/IEEEGCC.2011.5752482
M3 - Conference contribution
AN - SCOPUS:79957979232
SN - 9781612841199
SP - 178
EP - 181
BT - 2011 IEEE GCC Conference and Exhibition, GCC 2011
ER -