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» Support Vector Machines for Camera Calibration Problem
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CVPR
2005
IEEE
14 years 9 months ago
Detecting Doctored Images Using Camera Response Normality and Consistency
The advance in image/video editing techniques has facilitated people in synthesizing realistic images/videos that may hard to be distinguished from real ones by visual examination...
Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Ye...
CVIU
2007
157views more  CVIU 2007»
13 years 7 months ago
Camera calibration and light source orientation from solar shadows
In this paper, we describe a method for recovering camera parameters from perspective views of daylight shadows in a scene, given only minimal geometric information determined fro...
Xiaochun Cao, Hassan Foroosh
NIPS
1998
13 years 9 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
ICML
2005
IEEE
14 years 8 months ago
Adapting two-class support vector classification methods to many class problems
A geometric construction is presented which is shown to be an effective tool for understanding and implementing multi-category support vector classification. It is demonstrated ho...
Simon I. Hill, Arnaud Doucet
PREMI
2007
Springer
14 years 1 months ago
Ensemble Approaches of Support Vector Machines for Multiclass Classification
Support vector machine (SVM) which was originally designed for binary classification has achieved superior performance in various classification problems. In order to extend it to ...
Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho