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ICMLA
2007
15 years 6 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
137
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DEFORM
2000
15 years 6 months ago
Efficient Muscle Shape Deformation
: In this paper we extend previous work [Aubel00] and propose a muscle model suitable for computer graphics based on physiological and anatomical considerations. Muscle motion and ...
Amaury Aubel, Daniel Thalmann
IPMI
2003
Springer
16 years 5 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 11 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
SCALESPACE
2007
Springer
15 years 11 months ago
Histogram Based Segmentation Using Wasserstein Distances
In this paper, we propose a new nonparametric region-based active contour model for clutter image segmentation. To quantify the similarity between two clutter regions, we propose t...
Tony F. Chan, Selim Esedoglu, Kangyu Ni