On a Connection between Object Localization with a Generative Template of Features and Pose-space Prediction Methods
Christopher Williams and Moray Allan
School of Informatics, University of Edinburgh, Edinburgh, UK.
We address the task of localizing objects from a given object class in an image. The image is represented as a collection of ``visual words'' at interest points. The generative template of features (GTF) model defines a distribution over visual words and their spatial locations for each part of the object (Sudderth et al., 2005; Fergus et al., 2005). We show how to derive pose-space prediction methods (such as the Hough transform) from the GTF.
|Additional Information:||Technical Report EDI-INF-RR-0719|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Christopher Williams|
|Deposited On:||22 November 2006|