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» Low-Level Image Segmentation Based Scene Classification
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CVPR
2012
IEEE
13 years 2 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
MICCAI
2008
Springer
16 years 27 days ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 1 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
108
Voted
ECCV
2000
Springer
16 years 1 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
BMVC
1998
15 years 1 months ago
Color Invariant Snakes
Snakes provide high-level information in the form of continuity constraints and minimum energy constraints related to the contour shape and image features. These image features ar...
Theo Gevers, Sennay Ghebreab, Arnold W. M. Smeulde...