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Visual recognition of man-made materials and structures in an office environment

Song, Yi-Zhe and Town, C.P. (2005) Visual recognition of man-made materials and structures in an office environment In: 2nd International Conference on Video, Vision and Graphics, VVG 2005, 07-08 Jul 2005, Edinburgh, UK.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Song, Yi-Zhey.song@surrey.ac.uk
Town, C.P.
Date : 2005
Related URLs :
Additional Information : No further action
Depositing User : Clive Harris
Date Deposited : 13 Aug 2019 13:17
Last Modified : 13 Aug 2019 13:17
URI: http://epubs.surrey.ac.uk/id/eprint/852163

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