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» Locating Salient Facial Features Using Image Invariants
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SSIAI
2000
IEEE
13 years 12 months ago
Using Moment Invariants and HMM in Facial Expression Recognition
Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method ...
Y. Zhu, Liyanage C. De Silva, Chi Chung Ko
JMM2
2006
145views more  JMM2 2006»
13 years 7 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
GIS
2007
ACM
14 years 8 months ago
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery
We investigate the application of a new category of low-level image descriptors termed interest points to remote sensed image analysis. In particular, we compare how scale and rot...
Shawn Newsam, Yang Yang
MVA
2000
157views Computer Vision» more  MVA 2000»
13 years 8 months ago
Performance Analysis of Gabor Responses in Face Recognition
In this paper, we investigate the behavior of Gabor responses at automatically located facial feature points for face recognition. In our approach, a set of feature points on the ...
Menaka Rajapakse, Yan Guo

Publication
323views
14 years 3 months ago
Estimation of Location Uncertainty for Scale Invariant Feature Points
Image feature points are the basis for numerous computer vision tasks, such as pose estimation or object detection. State of the art algorithms detect features that are invariant t...
Bernhard Zeisl, Pierre Fite Georgel, Florian Schwe...