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» Object Recognition Using Segmentation for Feature Detection
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157
Voted
BSN
2009
IEEE
106views Sensor Networks» more  BSN 2009»
15 years 11 months ago
Transitional Activity Recognition with Manifold Embedding
— Activity monitoring is an important part of pervasive sensing, particularly for assessing activities of daily living for elderly patients and those with chronic diseases. Previ...
Raza Ali, Louis Atallah, Benny P. L. Lo, Guang-Zho...
FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
16 years 25 days ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich
184
Voted
MICCAI
2009
Springer
16 years 7 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
CVPR
2012
IEEE
13 years 8 months ago
A data driven method for feature transformation
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Mert Dikmen, Derek Hoiem, Thomas S. Huang
CSUR
2004
149views more  CSUR 2004»
15 years 6 months ago
A review of vessel extraction techniques and algorithms
Vessel segmentation algorithms are the critical components of circulatory blood vessel analysis systems. We present a survey of vessel extraction techniques and algorithms. We put ...
Cemil Kirbas, Francis K. H. Quek