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Hierarchical Annealing for Random Image Synthesis

Alexander, Simon K. ; Fieguth, Paul ; Vrscay, Edward R.

Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, p.194-210 [Periódico revisado por pares]

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Título:
Hierarchical Annealing for Random Image Synthesis
Autor: Alexander, Simon K. ; Fieguth, Paul ; Vrscay, Edward R.
Assuntos: Applied sciences ; Artificial intelligence ; Coarse Scale ; Computer science; control theory; systems ; Cooling Schedule ; Energy Function ; Exact sciences and technology ; Multigrid Method ; Pattern recognition. Digital image processing. Computational geometry ; Simulated Annealing ; Software
É parte de: Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, p.194-210
Descrição: Simulated annealing has been applied to a wide variety of problems in image processing and synthesis. However, particularly in scientific applications, the computational complexity of annealing may constrain its effectiveness, in that the demand for very high resolution samples or even three-dimensional data may result in huge configuration spaces. In this paper a method of hierarchical simulated annealing is introduced, which can lead to large gains in computational complexity for suitable models. As an example, the approach is applied to the synthesis of binary porous media images.
Editor: Berlin, Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês

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