Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Krawiec:2007:FBIT,

• author = "Krzysztof Krawiec and Daniel Howard and Mengjie Zhang",
• title = "Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques",
• booktitle = "Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007)",
• year = "2007",
• pages = "779--784",
• address = "Jeju Island, Korea",
• month = oct # " 11-13",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, computer vision, object detection, image analysis, pattern recognition",
• isbn13 = "978-0-7695-2999-8",
• DOI = "doi:10.1109/FBIT.2007.148",
• size = "7 pages",
• abstract = "This paper reviews the existing work in genetic programming for object detection and image analysis. It shortly introduces the reader into the fundamentals of evolutionary computation and presents the basics of the genetic programming paradigm (GP), providing a rationale for the use of GP within computer vision and pattern recognition, particularly when applied to object detection and image analysis. It reviews the past research on GP for vision, referring to real-world applications where possible. It outlines possible further research directions.",

}

Genetic Programming entries for Krzysztof Krawiec Daniel Howard Mengjie Zhang

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