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CVPR
2005
IEEE
14 years 9 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Frontal view recognition in multiview video sequences
Abstract--In this paper, a novel method is proposed as a solution to the problem of frontal view recognition from multiview image sequences. Our aim is to correctly identify the vi...
Irene Kotsia, Nikos Nikolaidis, Ioannis Pitas
ICIP
2005
IEEE
14 years 9 months ago
Static human body postures recognition in video sequences using the belief theory
This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
Alice Caplier, Laurent Bonnaud, Michèle Rom...
SMI
2008
IEEE
123views Image Analysis» more  SMI 2008»
14 years 2 months ago
Time varying surface reconstruction from multiview video
We present a fast deformation-based method for building time-varying surface models of dynamic objects from multiview video streams. Starting from an initial mesh representation, ...
S. Cihan Bilir, Yücel Yemez
ICIP
2007
IEEE
13 years 7 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...