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» A Computational Framework for Handling Motion
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CVPR
2010
IEEE
14 years 5 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
SIGGRAPH
2010
ACM
14 years 1 months ago
VideoMocap: modeling physically realistic human motion from monocular video sequences
This paper presents a video-based motion modeling technique for generating physically realistic human motion from monocular video sequences. We formulate the video-based motion mo...
Xiaolin Wei, Jinxiang Chai
BMVC
1998
13 years 10 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones
ICCV
2011
IEEE
12 years 9 months ago
Physically-based Motion Models for 3D Tracking: A Convex Formulation
In this paper, we propose a physically-based dynamical model for tracking. Our model relies on Newton’s second law of motion, which governs any real-world dynamical system. As a...
Mathieu Salzmann, Raquel Urtasun
CVPR
2010
IEEE
14 years 3 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof