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» Unsupervised Learning of Object Deformation Models
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ICCV
2007
IEEE
14 years 6 months ago
Unsupervised Learning of Object Deformation Models
Iasonas Kokkinos, Alan L. Yuille
ECCV
2008
Springer
14 years 6 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
CVPR
2008
IEEE
14 years 6 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
PAMI
2010
205views more  PAMI 2010»
13 years 2 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
ISVC
2005
Springer
13 years 9 months ago
Self-organizing Deformable Model: A New Method for Fitting Mesh Model to Given Object Surface
This paper presents a new method for projecting a mesh model of a source object onto a surface of an arbitrary target object. A deformable model, called Self-organizing Deformable ...
Ken'ichi Morooka, Hiroshi Nagahashi