CNN cell for computing disparity map

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CNN cell for computing disparity map

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Published

The real-time estimation of the distance of objects from an observer is a critical issue in several application fields. A new cellular neural network circuit that uses a stereo vision algorithm to compute the disparity map is presented.

Inspec keywords: cellular neural nets; image processing equipment; analogue processing circuits; real-time systems; stereo image processing

Other keywords: CNN cell; disparity map computation; cellular neural network; stereo vision algorithm; real-time estimation

Subjects: Neural nets (circuit implementations); Neural net devices; Analogue processing circuits; Optical, image and video signal processing; Pattern recognition and computer vision equipment; Neural computing techniques; Analogue circuits

References

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      • L.O. Chua , L. Yang . Cellular neural networks: theory and applications. IEEE Trans. Circuits Syst. , 1257 - 1290
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      • Salerno, M., Sargeni, F., Bonaiuto, V.: `Design of a dedicated CNN chip for autonomous robot navigation', 6th IEEE Int. Workshop CNN and their Applications (CNNA 2000), 23–25 May 2000, Catania, Italy.
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