PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Appearance Based Qualitative Image Description for Object Class Recognition
J Thuresson and Stefan Carlsson
Springer Lecture Notes in Computer Science Volume 3022, pp. 518-529, 2004.


Abstract. The problem of recognizing classes of objects as opposed to special instances requires methods of comparing images that capture the variation within the class while they discriminate against objects outside the class. We present a simple method for image description based on histograms of qualitative shape indexes computed from the combination of triplets of sampled locations and gradient directions in the image. We demonstrate that this method indeed is able to capture variation within classes of objects and we apply it to the problem of recognizing four di

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Learning/Statistics & Optimisation
ID Code:498
Deposited By:Stefan Carlsson
Deposited On:25 December 2004