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» Reformulating Constraint Models Using Input Data
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AMDO
2000
Springer
15 years 2 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno
AAAI
2008
15 years 12 hour ago
Learning and Inference with Constraints
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
MICCAI
2009
Springer
15 years 11 months ago
Setting Priors and Enforcing Constraints on Matches for Nonlinear Registration of Meshes
Abstract. We show that a simple probabilistic modelling of the registration problem for surfaces allows to solve it by using standard clustering techniques. In this framework, poin...
Benoît Combès, Sylvain Prima
67
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ICIP
2000
IEEE
15 years 11 months ago
An Information-Theoretic Model for Image Watermarking and Data Hiding
An information?theoretic model for image watermarking and data hiding systems is presented in this paper. The fundamental capacity limits of these systems are determined by the st...
Gen-Iu. Lin, Mehmet Kivanç Mihçak, P...
ISBI
2002
IEEE
15 years 10 months ago
Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence
We propose a new global registration method for estimating the cardiac displacement field in 2D sequences of ultrasound images of the heart. The basic idea is to select a referenc...
Andrés Santos, Jan Kybic, Manuel Desco, Mar...