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» A Statistical Shape Model without Using Landmarks
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ICCV
2011
IEEE
12 years 5 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
13 years 11 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 5 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
13 years 11 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 9 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...