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FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 8 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
BCS
2008
15 years 6 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
FGR
1996
IEEE
159views Biometrics» more  FGR 1996»
15 years 8 months ago
Adaptive Automatic Facial Feature Segmentation
Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove t...
Hasan Demirel, Thomas J. Clarke, Peter Y. K. Cheun...
ACL
2007
15 years 6 months ago
Detecting Semantic Relations between Named Entities in Text Using Contextual Features
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method ...
Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
TRECVID
2008
15 years 6 months ago
UEC at TRECVID 2008 High Level Feature Task
In this paper, we describe our approach and results for high-level feature extraction task (HLF) at TRECVID2008. This year, our focus is to develop a framework which fuses a numbe...
Zhiyuan Tang, Keiji Yanai