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142
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PRL
2007
108views more  PRL 2007»
15 years 3 months ago
Towards a measure of deformability of shape sequences
In this paper we develop a theory for characterizing how deformable a shape is given a sequence of its observations. We define a term called ‘‘deformability index’’ (DI) ...
Amit K. Roy Chowdhury
CVPR
2007
IEEE
16 years 6 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
CVPR
2005
IEEE
16 years 6 months ago
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
Statistical shape-and-texture appearance models employ image metamorphosis to form a rich, compact representation of object appearance. They achieve their efficiency by decomposin...
Chris Mario Christoudias, Trevor Darrell
140
Voted
AAAI
2006
15 years 5 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
ACCV
2010
Springer
15 years 5 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu