Natural and Artificial Low-level Seeing Systems
Published on 1. May 1993
Book
Hardback
137 pages
978-0-19-852289-8 (ISBN)
Description
In recent years active vision has become a topic of increasing interest for those working in two of the main branches of vision research: computer vision and insect vision. It has become apparent that the two groups have much to learn from each other, but communication between them has not been easy. Contributions from these two areas of research are brought together in this volume, which contains papers and discussion by specialists working on moving vehicles and flow fields and by those concerned with low-level natural visual systems as exemplified by insects. The volume will thus help to provide a new synthesis and suggest possible new directions for future research. These papers were presented at a Royal Society Discussion Meeting in March 1992.
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Oxford University Press
Target group
College/higher education
Professional and scholarly
Illustrations
halftones, line figures, tables, bibliography
ISBN-13
978-0-19-852289-8 (9780198522898)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1: Mandyam V. Srinivasan: How bees exploit optic flow: behavioural experiments and neural models. R.L. Gregory: Discussion. 2: Reinhard Wolf, Andreas Voss, Sigrid Hein and Martin Heisenberg: Can a fly ride a bicycle?. G.D. Sullivan: Discussion. 3: G.A. Horridge: What can engineers learn from insect vision?. H.C. Longuet-Higgins: Discussion. 4: N. Franceschini, J.M. Pichon and C. Blanes: From insect vision to robot vision. J.M. Brady: Discussion. 5: T.S. Collett: Landmark learning and guidance in insects. 6: Ellen C. Heldreth: Recovering heading for visually guided navigation in the presence of self-moving objects. H.B. Barlow, H.C. Longuet-Higgins: Discussion. 7: John E.W. Mayhew, Ying Zheng and Stuart Cornell: The adaptive control of a four-degrees-of-freedom stereo camera head. V. Torre: Discussion. 8: Donald B. Arnold and David A. Robinson: A Neural network model of the vestibulo-ocular reflex using a local synaptic learning rule. J.G. Taylor, P.J. Simpson: Discussion. 9: D.H. Ballard, Mary M. Hayhoe and Steven D. Whitehead: Hand-eye coordination during sequential tasks. J.P. Frisby, J.G. Taylor, R.B. Fisher: Discussion. 10: Michael Brady and Han Wang: Vision for mobile Robots. 11: Computational modelling of hand-eye coordination. J.M. Brady: Discussion. 12: G.D. Sullivan: Visual interpretation of known objects in constrained scenes a. A. Sloman: Discussion. 13: Shimon Ullman: Low-level aspects of segmentation and recognition. R.L. Gregory, J. Atkinson: Discussion