Titlebook: Dynamic Neural Field Theory for Motion Perception; Martin A. Giese Book 1999 Springer Science+Business Media New York 1999 algorithms.comp

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Necessity of the concepts: Model for the perceptual organization of the motion quartet. This model is suitable for a detailed quantitative comparison between the theory and experimental data. This permits an evaluation of the ”necessity” of the central theoretical concepts in sense that was defined in chapter 5.

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Technical applications of neural fields planning of an autonomous robot. The second example demonstrates how neural fields can be used to integrate multiple vision modules. The presented system constructs a depth map by an integration of motion and disparity information. Finally, some ideas for a computationally efficient implementation of neural fields are discussed.

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CIS

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Book 1999 motion perception. .This framework uses dynamic neural fields as a key mathematicalconcept. The author demonstrates how neural fields can be applied forthe analysis of perceptual phenomena and its underlying neuralprocesses. Also, similar principles form a basis for the design ofcomputer vision sys

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