Machine Learning for Rapid Image Classification

Machine Learning for Rapid Image Classification

In this thesis project techniques for training a rapid image classifier that can recognize an object of a predefined type has been studied. Classifiers have been trained with the AdaBoost algorithm, with and without the use of Viola-Jones cascades. The use of Weight trimming in the classifier traini...

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Bibliographic Details
Main Author: Niemi, Mikael
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för medicinsk teknik 2013
Subjects:
Image Classification
Machine Learning
Computer Vision
AdaBoost
Viola-Jones
Weight Trimming
Haar-like features
Computer Vision and Robotics (Autonomous Systems)
Datorseende och robotik (autonoma system)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97375

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97375

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