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» A Variational Approach to Shape from Defocus
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JMIV
2007
156views more  JMIV 2007»
13 years 7 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...
ICCV
2011
IEEE
12 years 7 months ago
Home 3D Body Scans from Noisy Image and Range Data
The 3D shape of the human body is useful for applications in fitness, games and apparel. Accurate body scanners, however, are expensive, limiting the availability of 3D body mode...
Alex Weiss, David Hirshberg, Michael Black
ECCV
2004
Springer
14 years 1 months ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
ECCV
2008
Springer
14 years 9 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
MICCAI
2010
Springer
13 years 6 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios