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» A Statistical Shape Model without Using Landmarks
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ICCV
2011
IEEE
12 years 7 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
IPMI
2009
Springer
14 years 2 months ago
Estimating the Confidence of Statistical Model Based Shape Prediction
We propose a method for estimating confidence regions around shapes predicted from partial observations, given a statistical shape model. Our method relies on the estimation of the...
Rémi Blanc, Ekaterina Syrkina, Gábor...
MICCAI
2006
Springer
14 years 8 months ago
Open-Curve Shape Correspondence Without Endpoint Correspondence
Abstract. Shape correspondence is the foundation for accurate statistical shape analysis; this is usually accomplished by identifying a set of sparsely sampled and well-corresponde...
Theodor Richardson, Song Wang
ICPR
2008
IEEE
14 years 2 months ago
Object boundary extraction using Active B-Snake Model
A new deformable model called Active B-Snake Model (ABM) is presented for object boundary extraction. First, an affine-invariant landmark point assignment strategy is proposed to ...
Yue Wang, Eam Khwang Teoh, Zujun Hou, Jian-Gang Wa...
ICCV
2009
IEEE
1191views Computer Vision» more  ICCV 2009»
14 years 11 months ago
3D Open-Surface Shape Correspondence for Statistical Shape Modeling: Identifying Topologically Consistent Landmarks
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statisti...
Pahal Dalal, Lili Ju, Michael McLaughlin, Xiangron...