Stereo correspondence using the Hopfield neural network of a new energy function

Jun-Jae Lee; Jae Chang Shim; Yeong Ho Ha

doi:10.1016/0031-3203(94)90129-5

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Stereo correspondence using the Hopfield neural network of a new energy function

Jun-Jae Lee Jae Chang Shim Yeong Ho Ha

Year: 1994 Journal: Pattern Recognition Vol: 27 (11)Pages: 1513-1522 Publisher: Elsevier BV

DOI: 10.1016/0031-3203(94)90129-5

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Keywords:

Hopfield network Correspondence problem Artificial neural network Uniqueness Computer science Energy (signal processing) Similarity (geometry) Artificial intelligence Function (biology) Convergence (economics) Mathematics Algorithm Image (mathematics)

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Stereo correspondence using the Hopfield neural network of a new energy function

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