TY - GEN
T1 - Exploring reliability for automatic identity verification with statistical shape models
AU - Sukno, Federico M.
AU - Frangi, Alejandro F.
PY - 2007
Y1 - 2007
N2 - One of the drawbacks of statistical shape models is their occasional failure to converge. Although visually this fact is usually easy to assess there is not, in general, an automatic way to detect the failure. In this work we introduce a generic reliability measure for statistical shape models. It is based on a probabilistic framework and uses information extracted by the model itself during the matching process. The proposed method was validated with two variants of Active Shape Models by working with facial images. The experimental results showed a high correlation between the segmentation accuracy and the estimated reliability.
AB - One of the drawbacks of statistical shape models is their occasional failure to converge. Although visually this fact is usually easy to assess there is not, in general, an automatic way to detect the failure. In this work we introduce a generic reliability measure for statistical shape models. It is based on a probabilistic framework and uses information extracted by the model itself during the matching process. The proposed method was validated with two variants of Active Shape Models by working with facial images. The experimental results showed a high correlation between the segmentation accuracy and the estimated reliability.
UR - http://www.scopus.com/inward/record.url?scp=34748908050&partnerID=8YFLogxK
U2 - 10.1109/AUTOID.2007.380597
DO - 10.1109/AUTOID.2007.380597
M3 - Conference contribution
AN - SCOPUS:34748908050
SN - 1424412994
SN - 9781424412990
T3 - 2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings
SP - 80
EP - 86
BT - 2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings
T2 - 2007 IEEE Workshop on Automatic Identification Advanced Technologies, AUTOID 2007
Y2 - 7 June 2007 through 8 June 2007
ER -