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» On the design of robust classifiers for computer vision
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AMDO
2008
Springer
13 years 9 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
MM
2010
ACM
174views Multimedia» more  MM 2010»
13 years 7 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
CVPR
2010
IEEE
14 years 1 months ago
Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects
We present a method for real-time 3D object detection that does not require a time consuming training stage, and can handle untextured objects. At its core, is a novel tem- plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
ICPR
2010
IEEE
14 years 1 months ago
Estimating Nonrigid Shape Deformation Using Moments
Image moments have been widely used for designing robust shape descriptors that are invariant to rigid transformations. In this work, we address the problem of estimating non-rigid...
Wei Liu, Eraldo Ribeiro
ICPR
2002
IEEE
14 years 8 months ago
Real Time 3D Face Pose Discrimination Based On Active IR Illumination
ct expressions, and different head orientations. In this paper, we introduce a new approach for realtime 3D face pose discrimination based on active IR illumination from a monocula...
Qiang Ji, Xiaojie Yang