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ICIP
2006
IEEE
16 years 4 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 7 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
ICPR
2000
IEEE
15 years 7 months ago
Hand Posture Estimation by Combining 2-D Appearance-Based and 3-D Model-Based Approaches
This paper proposes a method for the rapid and precise estimation of human hand postures by combining 2-D appearance matching and 3-D model-based fitting. First a rough posture e...
Nobutaka Shimada, Kousuke Kimura, Yoshiaki Shirai,...
BMVC
2001
15 years 5 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
FLAIRS
2001
15 years 4 months ago
Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling
Knowledge management depends on effective methods for capturing knowledge in useful forms and making it available when needed. Electronic concept maps provide a promising represen...
Alberto J. Cañas, David B. Leake, Ana Gabri...