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MIAR
2006
IEEE
14 years 1 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
ECCV
2008
Springer
14 years 9 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 1 months ago
Morphable Face Reconstruction with Multiple Images
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim
CVBIA
2005
Springer
14 years 1 months ago
Automatic Extraction of Femur Contours from Hip X-Ray Images
Abstract. Extraction of bone contours from x-ray images is an important first step in computer analysis of medical images. It is more complex than the segmentation of CT and MR im...
Ying Chen, Xianhe Ee, Wee Kheng Leow, Tet Sen Howe
MICCAI
2002
Springer
14 years 8 months ago
Using Points and Surfaces to Improve Voxel-Based Non-rigid Registration
Voxel-based non-rigid registration algorithms have been successfully applied to a wide range of image types. However, in some cases the registration of quite different images, e.g....
Thomas Hartkens, Derek L. G. Hill, Andy D. Castell...