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ACCV
2010
Springer
15 years 1 months ago
Latent Gaussian Mixture Regression for Human Pose Estimation
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...
Yan Tian, Leonid Sigal, Hernán Badino, Fern...
ICPR
2000
IEEE
16 years 7 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
ACCV
2007
Springer
16 years 1 months ago
An Occupancy-Depth Generative Model of Multi-view Images
This paper presents an occupancy based generative model of stereo and multi-view stereo images. In this model, the space is divided into empty and occupied regions. The depth of a ...
Pau Gargallo, Peter F. Sturm, Sergi Pujades
MLMI
2007
Springer
16 years 28 days ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
WSCG
2004
135views more  WSCG 2004»
15 years 8 months ago
Geometrical Modelling of Muscle Cells Based on Functional Representation of Polygons
A geometrical modelling tool allowing construction of models of living cells and their organelles would facilitate understanding of biological processes at the cellular level. Her...
Július Parulek, Milos Srámek, Ivan Z...