TY - GEN
T1 - 2D-PCA based statistical shape model from few medical samples
AU - Tateyama, Tomoko
AU - Foruzan, Hossein
AU - Chen, Yen Wei
PY - 2009
Y1 - 2009
N2 - Statistical shape model (SSM) is to model the shape variation of an object. In this paper, we propose an efficient shape representation method and a new 2D-PCA based statistical shape modeling. In our proposed method, we used the radii of these surface points as shape feature instead of their coordinates, and the shape is represented by a 2D matrices. We then apply 2D-PCA to construct a statistical shape model with generalization even from fewer samples.
AB - Statistical shape model (SSM) is to model the shape variation of an object. In this paper, we propose an efficient shape representation method and a new 2D-PCA based statistical shape modeling. In our proposed method, we used the radii of these surface points as shape feature instead of their coordinates, and the shape is represented by a 2D matrices. We then apply 2D-PCA to construct a statistical shape model with generalization even from fewer samples.
UR - http://www.scopus.com/inward/record.url?scp=73649137856&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=73649137856&partnerID=8YFLogxK
U2 - 10.1109/IIH-MSP.2009.246
DO - 10.1109/IIH-MSP.2009.246
M3 - Conference contribution
AN - SCOPUS:73649137856
SN - 9780769537627
T3 - IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
SP - 1266
EP - 1269
BT - IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
T2 - IIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Y2 - 12 September 2009 through 14 September 2009
ER -