University of Glasgow at ImageCLEF 2009 Robot Vision task: A rule based approach

Feng, Y., Halvey, M. and Jose, J. (2010) University of Glasgow at ImageCLEF 2009 Robot Vision task: A rule based approach. Lecture Notes in Computer Science, 6242, pp. 295-298. (doi: 10.1007/978-3-642-15751-6_38)

Abstract

For the submission from the University of Glasgow for the ImageCLEF 2009 Robot Vision Task a large set of interesting points were extracted using an edge corner detector, these points were used to represent each image. The RANSAC method [1] was then applied to estimate the similarity between test and training images based on the number of matched pairs of points. The location of robot was then annotated based on the training image which contains the highest number of matched point pairs with the test image. A set of decision rules with the respect to the trajectory behaviour of robot’s motion were defined to refine the final results. An illumination filter was also applied for two of the runs in order to reduce the illumination effect.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Halvey, Dr Martin and Feng, Mr Yue
• Authors: Feng, Y., Halvey, M., and Jose, J.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Lecture Notes in Computer Science
• Publisher: Springer
• ISSN: 0302-9743