Hierarchical Height Reconstruction of Object from Shading Using Genetic Algorithm


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 12, pp. 3703-3709, Dec. 1999
10.3745/KIPSTE.1999.6.12.3703,   PDF Download:

Abstract

We propose a new approach to reconstruct the surface shape of an object from a shaded image. We use genetic algorithm instead of gradient descent algorithm which is apt to take to local minima and also proposes genetic representation and suitable genetic operators for manipulating 2-D image. And for more effective execution, we suggest hierarchical process to reconstruct minutely the surface of an object after coarse and global reconstruction. A modified Lambertian illumination model including the distance factor was herein adopted to get more reasonable result and an experiment was performed with synthesized and real images to demonstrate the devised method, of which results show the usefulness of our method.


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Cite this article
[IEEE Style]
E. Y. Ahn and H. J. Cho, "Hierarchical Height Reconstruction of Object from Shading Using Genetic Algorithm," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3703-3709, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3703.

[ACM Style]
Eun Young Ahn and Hyung Je Cho. 1999. Hierarchical Height Reconstruction of Object from Shading Using Genetic Algorithm. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3703-3709. DOI: 10.3745/KIPSTE.1999.6.12.3703.