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» Using Component Features for Face Recognition
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IJCNN
2007
IEEE
15 years 8 months ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
ACCV
2010
Springer
14 years 9 months ago
3D Object Recognition Based on Canonical Angles between Shape Subspaces
We propose a method to measure similarity of shape for 3D objects using 3-dimensional shape subspaces produced by the factorization method. We establish an index of shape similarit...
Yosuke Igarashi, Kazuhiro Fukui
IVC
2006
180views more  IVC 2006»
15 years 2 months ago
Active appearance models with occlusion
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible...
Ralph Gross, Iain Matthews, Simon Baker
CORR
2010
Springer
257views Education» more  CORR 2010»
14 years 12 months ago
Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient Intelligence
Gesture recognition is mainly apprehensive on analyzing the functionality of human wits. The main goal of gesture recognition is to create a system which can recognize specific hu...
Harshith C, Karthik R. Shastry, Manoj Ravindran, M...
AVSS
2009
IEEE
15 years 8 days ago
Landmark Localisation in 3D Face Data
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
Marcelo Romero, Nick Pears