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» Application of Level Set Methods in Computer Vision
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177
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ICPR
2002
IEEE
16 years 8 months ago
Painter Identification Using Local Features and Naive Bayes
The goal of this paper is to offer a framework for image classification "by type". For example, one may want to classify an image of a certain office as man-made ? as op...
Daniel Keren
ICPR
2008
IEEE
16 years 2 months ago
Robust modeling and recognition of hand gestures with dynamic Bayesian network
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
ICPR
2008
IEEE
16 years 2 months ago
Group-based meta-classification
Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the clas...
Noor Azah Samsudin, Andrew Bradley
ICMCS
2006
IEEE
243views Multimedia» more  ICMCS 2006»
16 years 1 months ago
A Comparison of Three 3-D Facial Reconstruction Approaches
We compare three Computer Vision approaches to 3-D reconstruction, namely passive Binocular Stereo and active Structured Lighting and Photometric Stereo, in application to human f...
Alexander Woodward, Da An, Georgy L. Gimel'farb, P...
208
Voted
ACCV
2006
Springer
16 years 1 months ago
On Using Silhouettes for Camera Calibration
This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact...
Edmond Boyer