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» Feature Space Trajectory Methods for Active Computer Vision
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BMVC
2001
15 years 2 days ago
Recognition and retrieval via histogram trees
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically s...
Stuart Gibson, Richard Harvey
ICPR
2010
IEEE
14 years 7 months ago
Local Binary Pattern-Based Features for Text Identification of Web Images
We present a method of robustly identifying a text block in complex web images. The method is a MLP (Multilayer perceptron) classifier trained on LBP (Local binary patterns), wavel...
Insook Jung, Il-Seok Oh
79
Voted
ICPR
2006
IEEE
15 years 10 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
93
Voted
ICPR
2010
IEEE
15 years 1 months ago
Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
Meng Yang, Lei Zhang, Lin Zhang, David Zhang
85
Voted
ICCV
2003
IEEE
15 years 3 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape