PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Object localisation using the Generative Template of Features
Moray Allan and Christopher Williams
Computer Vision and Image Understanding Volume 113, Number 7, pp. 824-838, 2009. ISSN 1077-3142

Abstract

We introduce the Generative Template of Features (GTF), a parts-based model for visual object category detection. The GTF consists of a number of parts, and for each part there is a corresponding spatial location distribution and a distribution over `visual words' (clusters of invariant features). The performance of the GTF is evaluated for object localisation, and it is shown that such a relatively simple model can give state-of-the-art performance. We also demonstrate how a Hough-transform-like method for object localisation can be derived from the GTF model.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6022
Deposited By:Christopher Williams
Deposited On:08 March 2010