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» A Statistical Shape Model without Using Landmarks
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ECCV
2004
Springer
14 years 2 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
FLAIRS
2003
13 years 10 months ago
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model exclud...
Cheng Niu, Wei Li 0003, Jihong Ding, Rohini K. Sri...
MICCAI
2002
Springer
14 years 9 months ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
CVPR
2009
IEEE
15 years 4 months ago
Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology
All surfaces can be classified by the conformal equivalence relation. Conformal invariants, which are shape indices that can be defined intrinsically on a surface, may be used t...
Paul M. Thompson, Tony F. Chan, Xianfeng Gu, Yalin...
TSP
2008
187views more  TSP 2008»
13 years 8 months ago
Invariant Description and Retrieval of Planar Shapes Using Radon Composite Features
This paper proposes a novel feature-based invariant descriptor termed Radon composite features (RCFs) for planar shapes. Instead of analyzing shapes directly in the spatial domain,...
Yun Wen Chen, Yan Qiu Chen