Genetic Algorithm for Projective Invariant Object Recognition

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

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Original languageEnglish
Pages (from-to)861-865
Journal / PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume4875
Issue number2
Publication statusPublished - 2002

Conference

TitleSecond International Conference on Image and Graphics
PlaceChina
CityHefei
Period16 - 18 August 2002

Abstract

In this paper, we propose a novel scheme for matching planar images with three-dimensional geometrical shapes. Given a two-dimensional unknown image and a 3D model, Simple Genetic Algorithm is applied to search for the existence of a legitimate projective transform that can spatially associate the two entities. A positive outcome reflects that the image is possibly one of the many views of the model. To enhance the search efficiency, an alternative representation of the projective transform has been adopted so that the search space can be reduced. The method had been successfully applied to identify unknown views amongst a moderate collection of 3D models.