Stereo-correspondence using Gabor logons and neural networks
نویسندگان
چکیده
Stereo-correspondence is the most important issue in stereopsis. Feature extraction and matching are the basic steps involved in the solution of stereocorrespondence problem. This work examines the effectiveness of Gabor Logons as pre-processing technique compared to intensity image. The matching is performed using Hopfield network and Simulated Annealing. Performance of these matching techniques with respect to accuracy and execution speed is analysed. The effect of weightages to constraints and network parameters is also analysed. Simulated annealing is found to give much faster convergence compared to Hopfield network. Index Terms : Gabor Logons, Hopfield Network, Simulated Annealing, Stereo-Correspondence.
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