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CIVR
2006
Springer
129views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Retrieving Objects Using Local Integral Invariants
The use of local features in computer vision has shown to be promising. Local features have several advantages including invariance to image transformations, independence of the ba...
Alaa Halawani, Hashem Tamimi
CVPR
2011
IEEE
12 years 11 months ago
Using Specular Highlights as Pose Invariant Features for 2D-3D Pose Estimation
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...
Aaron Netz, Margarita Osadchy
ICETET
2009
IEEE
13 years 5 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
APVIS
2009
13 years 8 months ago
Visualizing metrics on areas of interest in software architecture diagrams
We present a new method for the combined visualization of software architecture diagrams, such as UML class diagrams or component diagrams, and software metrics defined on groups ...
Heorhiy Byelas, Alexandru Telea
ICIP
2007
IEEE
14 years 1 months ago
Group Activity Recognition Based on ARMA Shape Sequence Modeling
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Ying Wang, Kaiqi Huang, Tieniu Tan