- Abstract:
-
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.
- Copyright:
- 2006 by The University of Edinburgh. All Rights Reserved
- Links To Paper
- Chris Williams' publications
- Bibtex format
- @Misc{EDI-INF-RR-0719,
- author = {
Chris Williams
and Moray Allan
},
- title = {On a Connection between Object Localization with a Generative Template of Features and Pose-space Prediction Methods},
- year = 2006,
- month = {Jan},
- url = {http://www.dai.ed.ac.uk/homes/ckiw/postscript/WilliamsAllanJan06.pdf},
- }
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