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» Shape Priors using Manifold Learning Techniques
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ICPR
2006
IEEE
16 years 2 months ago
Isomap Based on the Image Euclidean Distance
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping (Isomap) is one of the representative techniques of man...
Jie Chen, Ruiping Wang, Shiguang Shan, Wen Gao, Xi...
CVPR
2010
IEEE
15 years 5 months ago
Lymph Node Detection in 3-D Chest CT using a Spatial Prior Probability
Lymph nodes have high clinical relevance but detection is challenging as they are hard to see due to low contrast and irregular shape. In this paper, a method for fully automatic ...
Johannes Feulner, Kevin Zhou, Martin Huber, Joachi...
139
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ICCV
2005
IEEE
15 years 7 months ago
Progressive Surface Reconstruction from Images Using a Local Prior
This paper introduces a new method for surface reconstruction from multiple calibrated images. The primary contribution of this work is the notion of local prior to combine the ï¬...
Gang Zeng, Sylvain Paris, Long Quan, Franço...
176
Voted
CVPR
2008
IEEE
1094views Computer Vision» more  CVPR 2008»
16 years 3 months ago
Image super-resolution using gradient profile prior
In this paper, we propose an image super-resolution approach using a novel generic image prior ? gradient profile prior, which is a parametric prior describing the shape and the s...
Jian Sun, Zongben Xu, Heung-Yeung Shum
BMVC
2010
14 years 12 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...