Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/20496
Title: Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
Authors: Lim, Swee Kim.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 1996
Abstract: The aim of the research work is to develop a recognition system for identifying and localising of a two- dimensional object from a scene image acquired using a standard CCD camera. Before proposing an effective matching paradigm, a survey on 2D object recognition systems is conducted to identify their strengths and weaknesses. To accomplish the 2D interpretation problem, a novel matching paradigm based on a modified genetic algorithm (GA) [35] [36] [37] is proposed and implemented for recognising 2D objects subjected to Euclidean transformation, partial occlusion and clusters of irrelevant objects.
URI: http://hdl.handle.net/10356/20496
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SAS Theses

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