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» Shape Priors using Manifold Learning Techniques
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ICPR
2008
IEEE
14 years 1 months ago
Contour grouping with shape manifold and distance transform
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
Zou Qi, Luo Siwei, Huang Yaping, Li Yan
CVPR
2006
IEEE
14 years 9 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
MICCAI
2004
Springer
14 years 7 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
ISMM
2009
Springer
14 years 1 months ago
Morphological Exploration of Shape Spaces
The aim of this paper is to propose efficient tools for analysing shape families using morphological operators. The developments include the definition of shape statistics (mean a...
Jesús Angulo, Fernand Meyer
MICCAI
2008
Springer
14 years 8 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...