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» Accurate Optical Flow in Noisy Image Sequences
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CVPR
1997
IEEE
16 years 8 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
DAGM
2009
Springer
15 years 10 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
CVPR
2003
IEEE
16 years 8 months ago
Practical Super-Resolution from Dynamic Video Sequences
This paper introduces a practical approach for superresolution, the process of reconstructing a high-resolution image from the low-resolution input ones. The emphasis of our work ...
Zhongding Jiang, Tien-Tsin Wong, Hujun Bao
283
Voted
ICPR
2008
IEEE
16 years 7 months ago
Group action recognition in soccer videos
Group action recognition in soccer videos is a challenging problem due to the difficulties of group action representation and camera motion estimation. This paper presents a novel...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Yu Kong, Yu...
CVPR
2011
IEEE
15 years 2 months ago
Scene Flow Estimation by Growing Correspondence Seeds
A simple seed growing algorithm for estimating scene flow in a stereo setup is presented. Two calibrated and synchronized cameras observe a scene and output a sequence of image p...
Jan Cech, Jordi Sanchez-Riera, Radu Horaud