TY - GEN
T1 - A multi-step alignment scheme for face recognition in range images
AU - Störmer, Andre
AU - Rigoll, Gerhard
PY - 2008
Y1 - 2008
N2 - Face Recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works.
AB - Face Recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works.
KW - Face Recognition
KW - Statistic modeling
UR - http://www.scopus.com/inward/record.url?scp=69949154227&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2008.4712363
DO - 10.1109/ICIP.2008.4712363
M3 - Conference contribution
AN - SCOPUS:69949154227
SN - 1424417643
SN - 9781424417643
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2748
EP - 2751
BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008
Y2 - 12 October 2008 through 15 October 2008
ER -