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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/10498

Title: AN ANALOG HOPFIELD NETWORK TO OVERCOME EXCESSIVE SMOOTHING IN SHAPE FROM SHADING
Authors: RAVINDRANATH, S
DESAI, UB
Issue Date: 1994
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 331B(5), 587-605
Abstract: The regularization term used in the cost function of the shape from shading (SFS) problem is necessary to make the problem well-posed. However, it has the disadvantage of producing excessive smoothing of the surface even at places where the gradient of the surface slope is very high. To overcome this we propose th use of a line function depending on the gradient of the surface slope in the regularization term. For an analog line function. the SFS energy functions is then minimized using and analog Hopfield network. For a binary line function, the SFS energy minimization problem is formulated as a combinatorial minimization problem; the minimization is implemental using a Boltzmann machine (simulated annealing). Simulation results are presented to substantiate our approach.
URI: http://dx.doi.org/10.1016/0016-0032(94)90038-8
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10498
http://hdl.handle.net/10054/10498
ISSN: 0016-0032
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