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FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
13 years 1 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
13 years 1 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
13 years 1 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
13 years 1 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
12 years 9 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