Algebraic Frames for the Perception-Action Cycle

1. Bottom-up derivation of the qualitatively different behaviors of a car across varying spatio-temporal scales: A study in abstraction of goal-directed motion

   • Leo Dorst

   Pages 344-355

2. Neural network approaches for perception and action

   • Helge Ritter

   Pages 356-378

3. Geometric neural networks

   • Eduardo Bayro-Corrochano, Sven Buchholz

   Pages 379-394

4. Back Matter

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The book constitutes the refereed proceedings of the International Workshop on Algebraic Frames for the Perception-Action Cycle, AFPAC '97, held in Kiel, Germany, in September 1997.
The volume presents 12 revised full papers carefully reviewed and selected for inclusion in the book. Also included are 10 full invited papers by leading researchers in the area providing a representative state-of-the-art assessment of this rapidly growing field. The papers are organized in topical sections on PAC systems, low level and early vision, recognition of visual structure, processing of 3D visual space, representation and shape perception, inference and action, and visual and motor neurocomputation.

• 3D
• Hough transform
• classification
• computer vision
• filtering
• optimization
• robot
• robotics

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