Algebraic Frames for the Perception-Action Cycle International Workshop, AFPAC'97, Kiel, Germany, September 8-9, 1997, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sommer, Gerald (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Koenderink, Jan J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
• Έκδοση: 1st ed. 1997.
• Σειρά: Lecture Notes in Computer Science, 1315
• Θέματα: Optical data processing.; Application software.; Computer graphics.; Artificial intelligence.; Pattern recognition.; Control engineering.; Robotics.; Mechatronics.; Image Processing and Computer Vision.; Computer Applications.; Computer Graphics.; Artificial Intelligence.; Pattern Recognition.; Control, Robotics, Mechatronics.

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 includ...

Πίνακας περιεχομένων:

• Algebraic aspects of designing behavior based systems
• From multidimensional signals to the generation of responses
• Perception and action using multilinear forms
• Local image operators and iconic structure
• On automatic selection of temporal scales in time-causal scale-space
• Some applications of representations of lie algebras and lie groups
• A systematic approach to geometry-based grouping and non-accidentalness
• Multi-dimensional signal processing using an algebraically extended signal representation
• On Hestenes' formalization for describing linear image transforms
• Fractal basis functions for pattern recognition
• Trilinear tensor: The fundamental construct of multiple-view geometry and its applications
• Algebraic and geometric tools to compute projective and permutation invariants
• A unified language for computer vision and robotics
• Structure from translational observer motion
• The geometry of visual space distortion
• The cascaded Hough transform as support for grouping and finding vanishing points and lines
• Visual perception strategies for 3D reconstruction
• Statistical optimization and geometric visual inference
• Path prediction and classification based on non-linear filtering
• Bottom-up derivation of the qualitatively different behaviors of a car across varying spatio-temporal scales: A study in abstraction of goal-directed motion
• Neural network approaches for perception and action
• Geometric neural networks.