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ICCV
2009
IEEE
16 years 9 months ago
Image Saliency by Isocentric Curvedness and Color
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
Roberto Valenti
BILDMED
2008
127views Algorithms» more  BILDMED 2008»
15 years 7 months ago
3D Segmentation of the Left Ventricle Combining Long- and Shortaxis Views
Abstract. Segmentation of the left ventricle (LV) is required to quantify LV remodeling after myocardial infarction. Therefore spatiotemporal Cine MR sequences including longaxis a...
Jatin Relan, Dennis Säring, Michael Groth, Ka...
CVPR
2001
IEEE
16 years 8 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
IJCV
2011
109views more  IJCV 2011»
15 years 1 months ago
Measuring and Predicting Object Importance
How important is a particular object in a photograph of a complex scene? We propose a definition of importance and present two methods for measuring object importance from human o...
Merrielle Spain, Pietro Perona
ICCV
2007
IEEE
16 years 8 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi