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|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)    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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