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» Statistical Modeling of Optical Flow
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CVPR
2004
IEEE
16 years 1 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
ECCV
2008
Springer
16 years 1 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
CVPR
2006
IEEE
15 years 3 months ago
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
Segmentation of ultrasound images is often a very challenging task due to speckle noise that contaminates the image. It is well known that speckle noise exhibits an asymmetric dis...
Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Mic...
ICIP
2003
IEEE
15 years 5 months ago
Perceptual regularization functionals for natural image restoration
Regularization constraints are necessary in inverse problems such as image restoration, optical flow computation or shape from shading to avoid the singularities in the solution....
Juan Gutierrez, Jesus Malo, Francesc J. Ferri
BMVC
1998
15 years 1 months ago
Effective Corner Matching
This paper tackles the problem of obtaining a good initial set of corner matches between two images without resorting to any constraints from motion or structure models. Several d...
Paul Smith, D. Sinclair, Roberto Cipolla, K. Wood