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» Principal Moments For Efficient Representation Of 2d Shape
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CVPR
2005
IEEE
14 years 9 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
ICIP
2006
IEEE
14 years 9 months ago
Low-Rate Reduced Complexity Image Compression using Directionlets
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth...
Vladan Velisavljevic, Baltasar Beferull-Lozano, Ma...
ICIAR
2005
Springer
14 years 1 months ago
Shape Similarity Measurement for Boundary Based Features
In this study, we propose two algorithms for measuring the distance between shape boundaries. In the algorithms, shape boundary is represented by the Beam Angle Statistics (BAS), w...
Nafiz Arica, Fatos T. Yarman-Vural
ICIP
2006
IEEE
14 years 9 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
AVBPA
2003
Springer
235views Biometrics» more  AVBPA 2003»
14 years 28 days ago
Expression-Invariant 3D Face Recognition
We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facia...
Alexander M. Bronstein, Michael M. Bronstein, Ron ...