Evolvable Modeling: structural adaptation through hierarchical evolution for 3-D model-based vision

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

@TechReport{nguyen:emsat3d,

• author = "Thang C. Nguyen and David E. Goldberg and Thomas S. Huang",
• title = "Evolvable Modeling: structural adaptation through hierarchical evolution for {3-D} model-based vision",
• institution = "Beckman Institute and Coordinated Science Laboratory, University of Illinois",
• year = "1993",
• address = "Urbana, IL 61801, USA",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/gp-3D-modeling.ps.Z",
• size = "5 pages",
• abstract = "The paper describes a platform to evolve 3-D models of jet planes, with ideas from both GA and GP. It is meant to help in model-acquisition, generation and refinement, mainly for model-based 3-D object recognition (a computer vision problem), rather than for high-resolution computer graphics. Nevertheless, the main idea is to evolve 3-D structures suitable for graphic rendering and other uses. It has been implemented successfully in Mathematica and the paper is an abstract submitted to ACCV'93.",
• notes = "See also \cite{kinnear:nguyen} and \cite{FS93-04-021}",

}

Genetic Programming entries for Thang C Nguyen David E Goldberg Thomas S Huang

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