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Title: Colour-based object recognition
Author: Matas, J.
ISNI:       0000 0001 3621 0470
Awarding Body: University of Surrey
Current Institution: University of Surrey
Date of Award: 1995
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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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Colour adjacency graph; Multiple colours