Efficient hybrid search for visual reconstruction problems

Visual reconstruction refers to extracting stable descriptions from visual data ( [1]; A. Blake and A. Zisserman, Visual Reconstruction, MIT Press, Cambridge, MA, 1987). Visual reconstruction problems are commonly formulated in an optimization framework and normally require the optimization of nonco...

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Vydáno v:	Image and vision computing Ročník 17; číslo 1; s. 37 - 49
Hlavní autoři:	Lai, Shang-Hong, C. Vemuri, Baba
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier B.V 1999 Elsevier
Témata:	Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology Hybrid search algorithm Informed Genetic Alogrithm Non-convex optimization Pattern recognition. Digital image processing. Computational geometry Theoretical computing Visual reconstruction Non-convex optimization Hybrid search algorithm Informed Genetic Alogrithm Visual reconstruction Conjugate gradient method Computer vision Image processing Experimental study Optimization Image reconstruction Surface Hybrid system Markov chain Algorithm performance Genetic algorithm Cholesky method Preconditioning
ISSN:	0262-8856
On-line přístup:	Získat plný text
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