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CVPR
2007
IEEE
15 years 1 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
CVPR
2010
IEEE
15 years 26 days ago
Multi-View Scene Flow Estimation: A View Centered Variational Approach
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and ...
Tali Bahsa, Yael Moses, Nahum Kiryati
ICIP
2008
IEEE
15 years 11 months ago
Saliency based objective quality assessment of decoded video affected by packet losses
In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The ...
Xin Feng, Tao Liu, Dan Yang, Yao Wang
ICPR
2006
IEEE
15 years 10 months ago
Accurate 3-D Motion Tracking with an Application to Super-Resolution
Many of the existing image processing applications, in particular the construction of super-resolution videos, require an accurate high-speed motion tracking algorithm. This paper...
Kin-hong Wong, Michael Ming-Yuen Chang, Siu-Hang O...
CVPR
2011
IEEE
14 years 6 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg