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» Motion Field Estimation for Temporal Textures
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CVPR
2007
IEEE
14 years 8 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang
ICPR
2002
IEEE
14 years 7 months ago
Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi
PAMI
2011
12 years 9 months ago
Motion Field Estimation from Alternate Exposure Images
—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...
ECCV
2010
Springer
13 years 8 months ago
Fast dynamic texture detection
Dynamic textures can be considered to be spatio-temporally varying visual patterns in image sequences with certain temporal regularity. We propose a novel and efficient approach t...
ECCV
1994
Springer
14 years 8 months ago
Recursive Non-Linear Estimation of Discontinuous Flow Fields
Abstract. This paper de nes a temporal continuity constraint that expresses assumptions about the evolution of 2D image velocity, or optical ow, over a sequence of images. Temporal...
Michael J. Black