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FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
14 years 10 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
CVPR
2011
IEEE
14 years 10 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
DCG
2011
14 years 10 months ago
A Celtic Framework for Knots and Links
We describe a variant of a method used by modern graphic artists to design what are traditionally called Celtic knots, which are part of a larger family of designs called “mirro...
Jonathan L. Gross, Thomas W. Tucker
DIMVA
2011
14 years 10 months ago
What's Clicking What? Techniques and Innovations of Today's Clickbots
Abstract. With the widespread adoption of Internet advertising, fraud has become a systemic problem. While the existence of clickbots—malware specialized for conducting click-fra...
Brad Miller, Paul Pearce, Chris Grier, Christian K...
ICCV
2011
IEEE
14 years 6 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden