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» A Statistical Shape Model without Using Landmarks
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CVPR
2007
IEEE
14 years 7 months ago
A Fast 3D Correspondence Method for Statistical Shape Modeling
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In this paper, we address this ...
Pahal Dalal, Brent C. Munsell, Song Wang, Jijun Ta...
ACCV
2007
Springer
13 years 12 months ago
Coarse-to-Fine Statistical Shape Model by Bayesian Inference
In this paper, we take a predefined geometry shape as a constraint for accurate shape alignment. A shape model is divided in two parts: fixed shape and active shape. The fixed shap...
Ran He, Stan Z. Li, Zhen Lei, ShengCai Liao
CVPR
2004
IEEE
14 years 7 months ago
Shape Correspondence through Landmark Sliding
Motivated by improving statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple...
Song Wang, Toshiro Kubota, Theodor Richardson

Publication
1462views
15 years 4 months ago
Statistical Models of Appearance for Computer Vision
A great technical report describing the work of T.F. Cootes and C.J.Taylor in the area of Active Shape Models and Active Appearance Models.
T.F. Cootes, C.J.Taylor
JMM2
2006
141views more  JMM2 2006»
13 years 5 months ago
Optimal Weighting of Landmarks for Face Recognition
A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landm...
Rajinda Senaratne, Saman K. Halgamuge