대한전자공학회논문지 (Journal of the Korean Institute of Telematics and Electronics)
- 제27권6호
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- Pages.972-981
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- 1990
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- 1016-135X(pISSN)
명암 변화에서 형상을 재현하기 위한 저항 신경망
Resistive Net Computing Shape from Shading
초록
Many researchers have been interested in whether complex computational problems can be solved by the neural net or not. Especially, problems of early vision are integrated by Tikhonov's regularization theory. Regularization technique can be realized in resistive net. In this paper, we suggest the resistive net with upper and lower thresholder to be able to compute shape from shading and to solve its discontinuous problem. We simulate three algorithms-Horn's algorithm, resistive net and up-low thrwsholding net -with respect to three cases-fully boundary, boundary losing partly and noisy image. As being able to cope with crease and discontinuous parts, we get the good 3D shape from shading.
키워드