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DAGM
2008
Springer
15 years 5 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
JMM2
2007
118views more  JMM2 2007»
15 years 3 months ago
FPGA-based Real-time Optical Flow Algorithm Design and Implementation
—Optical flow algorithms are difficult to apply to robotic vision applications in practice because of their extremely high computational and frame rate requirements. In most case...
Zhaoyi Wei, Dah-Jye Lee, Brent E. Nelson
CVPR
2009
IEEE
16 years 10 months ago
Continuous Maximal Flows and Wulff Shapes: Application to MRFs
Convex and continuous energy formulations for low level vision problems enable efficient search procedures for the corresponding globally optimal solutions. In this work we exte...
Christopher Zach (UNC Chapel Hill), Marc Niethamme...
PAM
2005
Springer
15 years 8 months ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
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Source Code
1378views
13 years 11 months ago
gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...