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ICCV
2009
IEEE
14 years 7 months ago
Efficient human pose estimation via parsing a tree structure based human model
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...
Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weimi...
TIP
2011
231views more  TIP 2011»
14 years 4 months ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
3DIM
2003
IEEE
15 years 3 months ago
Stable Real-Time Interaction Between Virtual Humans And Real Scenes
We present an Augmented Reality system that relies on purely passive techniques to solve the real-time registration problem. It can run on a portable PC and does not require engin...
Luca Vacchetti, Vincent Lepetit, George Papagianna...
3DPVT
2004
IEEE
159views Visualization» more  3DPVT 2004»
15 years 1 months ago
Dense Multiple View Stereo with General Camera Placement using Tensor Voting
We present a computational framework for the inference of dense descriptions from multiple view stereo with general camera placement. Thus far research on dense multiple view ster...
Philippos Mordohai, Gérard G. Medioni

Book
5396views
16 years 8 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li