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» Improving Difference Operators by Local Feature Detection
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DICTA
2009
13 years 9 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
CVPR
2008
IEEE
14 years 10 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah
CGF
2006
183views more  CGF 2006»
13 years 8 months ago
Data-driven Local Coordinate Systems for Image-Based Rendering
Image-based representations of an object profit from known geometry. The more accurate this geometry is known, the better corresponding pixels in the different images can be align...
Gero Müller, Ralf Sarlette, Reinhard Klein
PR
2008
178views more  PR 2008»
13 years 6 months ago
An effective and fast iris recognition system based on a combined multiscale feature extraction technique
The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and the various sources of intra-class varia...
Makram Nabti, Ahmed Bouridane
JSAC
2011
191views more  JSAC 2011»
13 years 3 months ago
CRP: A Routing Protocol for Cognitive Radio Ad Hoc Networks
Abstract—Cognitive radio (CR) technology enables the opportunistic use of the vacant licensed frequency bands, thereby improving the spectrum utilization. However, the CR operati...
Kaushik R. Chowdhury, Ian F. Akyildiz