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» Accurate Optical Flow in Noisy Image Sequences
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CRV
2006
IEEE
99views Robotics» more  CRV 2006»
14 years 12 months ago
Using 3D Spline Differentiation to Compute Quantitative Optical Flow
We show that differentiation via fitting B-splines to the spatio-temporal intensity data comprising an image sequence provides at least the same and usually better 2D Lucas and Ka...
John L. Barron, Marc Daniel, Jean-Luc Mari
CVPR
2006
IEEE
15 years 12 months ago
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
Scene flow represents the 3-D motion of points in the scene, just as optical flow is related to their 2-D motion in the images. As opposed to classical methods which compute scene...
Frederic Devernay, Diana Mateus, Matthieu Guilbert
BMVC
1998
14 years 11 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
TIP
2010
121views more  TIP 2010»
14 years 4 months ago
Robust Processing of Optical Flow of Fluids
Abstract--This paper proposes a new approach, coupling physical models and image estimation techniques, for modelling the movement of fluids. The fluid flow is characterized by tur...
Ashish Doshi, Adrian G. Bors
ICCV
2007
IEEE
15 years 12 months ago
Estimation of the Epipole using Optical Flow at Antipodal Points
This paper develops an algorithm for estimating the epipole or direction of translation of a moving monocular observer. To this end, we use constraints arising from two points tha...
John Lim, Nick Barnes