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ESANN
2007
9 years 24 days ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell
ICASSP
2007
IEEE
9 years 3 months ago
Texture Classification by using Advanced Local Binary Patterns and Spatial Distribution of Dominant Patterns
In this paper, we propose a new feature extraction method, which is robust against rotation and histogram equalization for texture classification. To this end, we introduce the co...
Shu Liao, Albert C. S. Chung
ICPR
2010
IEEE
9 years 3 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
3DIM
2007
IEEE
9 years 5 months ago
Silhouette Extraction with Random Pattern Backgrounds for the Volume Intersection Method
In this paper, we present a novel approach for extracting silhouettes by using a particular pattern that we call the random pattern. The volume intersection method reconstructs th...
Masahiro Toyoura, Masaaki Iiyama, Koh Kakusho, Mic...
ICASSP
2010
IEEE
8 years 11 months ago
Visual localization and segmentation based on foreground/background modeling
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
Hanzi Wang, Tat-Jun Chin, David Suter
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