Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An optimization approach is used to solve the correspondence problem for a set of features extracted from a pair of stereo images. A cost function is defined to represent the constraints on the solution which is then mapped onto a 2-D neural network for minimization. Each neuron in the network represents a possible match beten a feature in the left image and one in the right image. Correspondence is achieved by initializing all the neurons that represent the possible matches and allowing the network to use the compatibility measures beten the matched points to settle down into a stable state. >
['Nasser M. Nasrabadi', 'Wei Li', 'Bradley G. Epranian', 'Charles A. Butkus']
I am writing a research paper on a idea Use of Hopfield network for stereo vision correspondence
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