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» A Statistical Shape Model without Using Landmarks
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BMVC
1998
13 years 10 months ago
Reconstructing 3D Pose and Motion from a Single Camera View
This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within ...
Richard Bowden, T. A. Mitchell, Mansoor Sarhadi
CVPR
2006
IEEE
14 years 11 months ago
Classifying Human Dynamics Without Contact Forces
We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
Alessandro Bissacco, Stefano Soatto
CIVR
2007
Springer
180views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Probabilistic matching and resemblance evaluation of shapes in trademark images
We present a novel matching and similarity evaluation method for planar geometric shapes represented by sets of polygonal curves. Given two shapes, the matching algorithm randomly...
Helmut Alt, Ludmila Scharf, Sven Scholz
ICCV
2007
IEEE
15 years 4 months ago
 A Component Based Deformable Model for Generalized Face Alignment
This paper presents a component based deformable model for generalized face alignment, in which a novel bistage statistical framework is proposed to account for both local and g...
Yuchi Huang, Qingshan Liu, Dimitris Metaxas
ICCV
2005
IEEE
14 years 2 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu