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A unified random field model based neural approach to pixel labeling problems in computer vision

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2 Author(s)
Parthasarathy, G. ; Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India ; Ananth Raj, P.

In this paper, we establish a nexus between the Gibbs random field models and recurrent neural networks and present a unified neural network approach based on this to pixel labeling problems in computer vision. We also present a case study with photometric stereo problem for demonstrating the viability of the present approach

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:6 )

Date of Conference:

27 Jun- 2 Jul 1994

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