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» Accurate Optical Flow in Noisy Image Sequences
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CVPR
1997
IEEE
15 years 12 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 1 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
15 years 12 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
ICPR
2008
IEEE
15 years 11 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
14 years 5 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