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» A Variational Model for P XS Image Fusion
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TIP
2011
137views more  TIP 2011»
13 years 2 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
SIAMIS
2010
147views more  SIAMIS 2010»
13 years 6 months ago
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
Chunlin Wu, Xue-Cheng Tai
SIGGRAPH
1999
ACM
14 years 4 days ago
A Perceptually Based Physical Error Metric for Realistic Image Synthesis
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of this procedure is a novel physical error metric that correctly predicts the percep...
Mahesh Ramasubramanian, Sumanta N. Pattanaik, Dona...
ICRA
1993
IEEE
147views Robotics» more  ICRA 1993»
13 years 12 months ago
Towards Sonar Based Perception and Modelling for Unmanned Untethered Underwater Vehicles
The ability to automatically generate internal models from sensed data will be of critical importance in the development of flexible, adaptive and useful unmanned underwater vehic...
B. Steer, J. Kloske, P. Garner, L. LeBlanc, S. Sch...
ICASSP
2010
IEEE
13 years 8 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams