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SCALESPACE
2009
Springer
14 years 2 months ago
A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
Carole Le Guyader, Luminita A. Vese
ICCV
2005
IEEE
14 years 1 months ago
Conformal Metrics and True "Gradient Flows" for Curves
We wish to endow the manifold M of smooth curves in lRn with a Riemannian metric that allows us to treat continuous morphs (homotopies) between two curves c0 and c1 as trajectorie...
Anthony J. Yezzi, Andrea Mennucci
SIAMIS
2010
395views more  SIAMIS 2010»
13 years 6 months ago
A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
ECCV
2008
Springer
14 years 9 months ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
TMI
1998
140views more  TMI 1998»
13 years 7 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger