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» A Statistical Shape Model without Using Landmarks
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IPMI
2003
Springer
15 years 10 months ago
Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...
ICPR
2006
IEEE
15 years 10 months ago
Shape Alignment by Learning a Landmark-PDM Coupled Model
This paper revisits the model-based approaches for groupwise shape alignment. The key contribution is modeling the landmarks instead of considering them as nodes sliding along the...
Yifeng Jiang, Jun Xie, Hung-Tat Tsui
87
Voted
MICCAI
2005
Springer
15 years 10 months ago
Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion
The growing usage of statistical shape analysis in medical imaging calls for effective methods for highly accurate shape correspondence. This paper presents a novel landmark-based ...
Theodor Richardson, Song Wang
67
Voted
ACL
1998
14 years 11 months ago
Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model
We present a novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OC...
Masaaki Nagata
ICIP
2008
IEEE
15 years 4 months ago
Model-based compression of nonstationary landmark shape sequences
We have proposed a novel model-based compression technique for nonstationary landmark shape data extracted from video sequences. The main goal is to develop a technique for the co...
Samarjit Das, Namrata Vaswani