Referenced Items are not available for this document.
In this paper, a method for estimating parameters of a 3-D shape from a 2-D shading image using a genetic algorithms (GAs) is proposed. The shape of the object is represented by a superquadrics model, and then the model parameters are coded for application to GAs. The coded string is evaluated according to the similarity of the shading image calculated from the 3-D model shape represented by the parameters to the given 2-D shading image. By applying the GAs to the optimization of the evaluation value, the string having the minimum difference can be found. The parameters are estimated from some shading images of various 3-D shapes by using the proposed method, and the results are presented
Published in:
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
(Volume:1
)
Date of Conference: 9-13 Oct 1994
- Page(s):
- 668 - 670 vol.1
- Meeting Date :
- 09 Oct 1994-13 Oct 1994
- Print ISBN:
- 0-8186-6265-4
- INSPEC Accession Number:
- 4985749
- Conference Location :
- Jerusalem
- Digital Object Identifier :
- 10.1109/ICPR.1994.576394
- Product Type:
- Conference Publications
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