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» Motion Detection using a Model of Visual Attention
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ICPR
2006
IEEE
16 years 3 months ago
Initialization and System Modeling in 3-D Pose Tracking
Initialization and choice of adequate motion models are two important but seldom discussed problems in 3D modelbased pose (position and orientation) tracking. In this paper, we pr...
Danica Kragic, Ville Kyrki
ICIP
2001
IEEE
16 years 3 months ago
Face detection using large margin classifiers
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this pa...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
UAI
1996
15 years 3 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
APGV
2005
ACM
132views Visualization» more  APGV 2005»
15 years 7 months ago
De-emphasis of distracting image regions using texture power maps
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Sara L. Su, Frédo Durand, Maneesh Agrawala
EJASP
2010
158views more  EJASP 2010»
14 years 8 months ago
A Fully Automated Method to Detect and Segment a Manufactured Object in an Underwater Color Image
In this work we propose a fully automated active contours based method for the detection and the segmentation of a moored manufactured object in an underwater image. Detection of o...
Christian Barat, Ronald Robert Phlypo