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» A Computational Framework for Handling Motion
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ICCV
2007
IEEE
14 years 3 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
AMDO
2008
Springer
13 years 11 months ago
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. Th...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
SCIA
2011
Springer
223views Image Analysis» more  SCIA 2011»
12 years 12 months ago
Stable Structure from Motion for Unordered Image Collections
We present a non-incremental approach to structure from motion. Our solution is based on robustly computing global rotations from relative geometries and feeding these into the kno...
Carl Olsson, Olof Enqvist
AMDO
2006
Springer
14 years 27 days ago
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition
An automatic human shape-motion analysis method based on a fusion architecture is proposed for human action recognition in videos. Robust shape-motion features are extracted from h...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
CW
2008
IEEE
14 years 3 months ago
Interactive Animation of Virtual Characters: Application to Virtual Kung-Fu Fighting
This paper aims at proposing a framework for animating virtual humans that can efficiently interact with real users in virtual reality (VR). If the user’s order can be modeled ...
Nicolas Pronost, Franck Multon, Qilei Li, Weidong ...