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» Generic Object Detection using Model Based Segmentation
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CVPR
2010
IEEE
15 years 3 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
141
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MICCAI
2009
Springer
16 years 3 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...
114
Voted
ACMSE
2005
ACM
15 years 8 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
ICASSP
2011
IEEE
14 years 6 months ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...
ICCV
2011
IEEE
14 years 2 months ago
A 3D Laplacian-Driven Parametric Deformable Model
3D parametric deformable models have been used to extract volumetric object boundaries and they generate smooth boundary surfaces as results. However, in some segmentation cases, ...
Tian Shen, Xiaolei Huang, Hongsheng Li, Edward Kim...