Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/15030
metadata.ojs.dc.title: A shape from shading approach for the reconstruction of polyhedral objects using genetic algorithm
metadata.ojs.dc.creator: Kumar, Manoj
Bhargava, Rama
Balasubramanian, R.
metadata.ojs.dc.subject: Polyhedra
Superstrictness
Lambertian
Albedo
metadata.ojs.dc.publisher: Universidade Federal de Lavras (UFLA)
metadata.ojs.dc.date: 1-Jun-2009
metadata.ojs.dc.identifier.citation: KUMAR, M.; BHARGAVA, R.; BALASUBRAMANIAN, R. A Shape from shading approach for the reconstruction of polyhedral objects using genetic algorithm. INFOCOMP Journal of Computer Science, Lavras, v. 8, n. 2, p. 73-80, June 2009.
metadata.ojs.dc.description.abstract: This paper presents a robust approach for the reconstruction of polyhedral objects from line drawings. Minimization technique has been used in this approach by exploiting the shading information contained in the image. The minimization energy function has been formulated between observed and calculated value of image intensity under the Lambertian reflectance model. Various constraints e.g. the surface normal coplanarity and edge length proportionality constraints are used to get the unique solution for the depth values. The minimization problem is nonlinear with nonlinear constraints, which is solved by using Genetic Algorithm. The proposed algorithm produces satisfactory results even in the case of slight error in computation of vertex positions caused in image processing. The algorithm has been tested on synthetic images and the results are shown.
metadata.ojs.dc.language: eng
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