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» Complex Salient Regions for Computer Vision Problems
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ACCV
2007
Springer
15 years 4 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
CVPR
2006
IEEE
15 years 1 months ago
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
Segmentation of ultrasound images is often a very challenging task due to speckle noise that contaminates the image. It is well known that speckle noise exhibits an asymmetric dis...
Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Mic...
CVBIA
2005
Springer
15 years 3 months ago
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)
Abstract. This paper presents a novel measure of image similarity, called quantitative-qualitative measure of mutual information (Q-MI), for multi-modal image registration. Convent...
Hongxia Luan, Feihu Qi, Dinggang Shen
CVPR
2012
IEEE
13 years 8 days 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
EMMCVPR
2001
Springer
15 years 2 months ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...