Visual Recognition of Man-made Materials and Structures in an Office Environment

Song, Y. Z.; Town, C. P.

Visual Recognition of Man-made Materials and Structures in an Office Environment

Files

159-166.pdf (6.56 MB)

Date

2005

Authors

Song, Y. Z.
Town, C. P.

Publisher

The Eurographics Association

Abstract

This paper demonstrates a new approach towards object recognition founded on the development of Neural Network classifiers and Bayesian Networks. The mapping from segmented image region descriptors to semantically meaningful class membership terms is achieved using Neural Networks. Bayesian Networks are then employed to probabilistically detect objects within an image by means of relating region class labels and their surrounding environments. Furthermore, it makes use of an intermediate level of image representation and demonstrates how object recognition can be achieved in this way.

        @inproceedings{10.2312:vvg.20051021
,
booktitle = {Vision, Video, and Graphics (2005)
},
editor = {Mike Chantler
},
title = {{Visual Recognition of Man-made Materials and Structures in an Office Environment
}},
author = {Song, Y. Z. and 
Town, C. P.
},
year = {2005
},
publisher = {The Eurographics Association
},
ISBN = {3-905673-57-6
},
DOI = {10.2312/vvg.20051021
}
}