Sciweavers

67 search results - page 7 / 14
» Recovering Estimates of Fluid Flow from Image Sequence Data
Sort
View
ECCV
1994
Springer
14 years 9 months ago
Recursive Affine Structure and Motion from Image Sequences
Abstract. This paper presents a new algorithm for structure from motion from an arbitrary number of tracked features over an arbitrary number of images, which possesses several adv...
Philip F. McLauchlan, Ian D. Reid, David W. Murray
ICCV
2001
IEEE
14 years 9 months ago
Accurate Optical Flow in Noisy Image Sequences
Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is des...
Hagen Spies, Hanno Scharr
FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
13 years 11 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob
DAGM
2008
Springer
13 years 9 months ago
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therei...
Florian Becker, Bernhard Wieneke, Jing Yuan, Chris...
CVIU
2006
209views more  CVIU 2006»
13 years 7 months ago
Joint optical flow estimation, segmentation, and 3D interpretation with level sets
This paper describes a variational method with active curve evolution and level sets for the estimation, segmentation, and 3D interpretation of optical flow generated by independe...
Hicham Sekkati, Amar Mitiche