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» Reconstructing Optical Flow Fields by Motion Inpainting
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ICIG
2009
IEEE
14 years 9 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
DAGM
2009
Springer
15 years 3 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
2008
IEEE
16 years 1 months ago
Optical flow estimation using Fourier Mellin Transform
In this paper, we propose a novel method of computing the optical flow using the Fourier Mellin Transform (FMT). Each image in a sequence is divided into a regular grid of patches...
Huy Tho Ho, Roland Göcke
DAGM
2008
Springer
15 years 1 months ago
Convex Hodge Decomposition of Image Flows
The total variation (TV) measure is a key concept in the field of variational image analysis. Introduced by Rudin, Osher and Fatemi in connection with image denoising, it also prov...
Jing Yuan, Gabriele Steidl, Christoph Schnörr
CEE
2010
119views more  CEE 2010»
14 years 11 months ago
Block-matching-based motion field generation utilizing directional edge displacement
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
Hitoshi Hayakawa, Tadashi Shibata