University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Coloured-based object recognition.

Matas, J. (1995) Coloured-based object recognition. Doctoral thesis, University of Surrey (United Kingdom)..

Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (4MB) | Preview


This thesis studies the use of colour information for object recognition. A new representation for objects with multiple colours - the colour adjacency graph (CAG) - is proposed. Each node of the CAG represents a single chromatic component of the image defined as a set of pixels forming a unimodal cluster in the chromatic scattergram. Edges encode information about adjacency of colour components and their reflectance ratio. The CAG is related to both the histogram and region adjacency graph representations. It is shown to be preserving and combining the best features of these two approaches while avoiding their drawbacks. The proposed approach is tested on a range of difficult object recognition and localisation problems involving complex imagery of non rigid 3D objects under varied viewing conditions with excellent results.

Item Type: Thesis (Doctoral)
Divisions : Theses
Authors :
Matas, J.
Date : 1995
Contributors :
Depositing User : EPrints Services
Date Deposited : 09 Nov 2017 12:16
Last Modified : 20 Jun 2018 11:08

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800