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» Reconstructing Optical Flow Fields by Motion Inpainting
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BMVC
2000
15 years 1 months ago
Estimating the Structure of Textured Surfaces Using Local Affine Flow
This paper describes a novel approach for recovering the structure and motion of a rigid textured surface from an image sequence. Camera focal length is also recovered, yielding m...
Andrew Calway
AIPR
2001
IEEE
15 years 3 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
ECCV
2004
Springer
16 years 1 months ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto
BMVC
1998
15 years 1 months ago
Spatial Filtering Requirements for Gradient-Based Optical Flow Measurement
When using a gradient-basedmethod to determine the optical flow field for an image sequence, it is generally appreciated that some spatial pre-filtering of the images is usually n...
William J. Christmas
ICIP
2006
IEEE
15 years 5 months ago
MRF Modeling for Optical Flow Computation from Multi-Structure Objects
We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees...
Véronique Prinet, Cyril Cassisa, FengFeng T...