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» Image Segmentation - A Survey of Soft Computing Approaches
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BMVC
2001
15 years 8 months ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
CVPR
2010
IEEE
15 years 11 months ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
CIVR
2009
Springer
253views Image Analysis» more  CIVR 2009»
16 years 26 days ago
Spatial extensions to bag of visual words
The Bag of Visual Words (BoV) paradigm has successfully been applied to image content analysis tasks such as image classification and object detection. The basic BoV approach ove...
Ville Viitaniemi, Jorma Laaksonen
ISD
1999
Springer
149views Database» more  ISD 1999»
15 years 10 months ago
Cost-Effective Determination of Biomass from Aerial Images
This paper describes an ongoing collaborative research program between the Computer Science and the Forestry and Wildlife Management Departments at the University of Massachusetts...
Howard J. Schultz, Dana Slaymaker, Chris Holmes, F...
CVPR
2010
IEEE
16 years 2 months ago
Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories
We present a feature matching algorithm that leverages bottom-up segmentation. Unlike conventional image-toimage or region-to-region matching algorithms, our method finds corresp...
Jaechul Kim, Kristen Grauman