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IPMI
2005
Springer
14 years 8 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
TSD
2005
Springer
14 years 1 months ago
Robust Rule-Based Method for Automatic Break Assignment in Russian Texts
In this paper a new rule-based approach to break assignment for the Russian language is discussed. It is a flexible and robust method of segmentation of texts in Russian in prosod...
Ilya Oparin
FBIT
2007
IEEE
13 years 11 months ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...
CVPR
2000
IEEE
14 years 9 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu
CVPR
2000
IEEE
14 years 9 months ago
Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...