From Living Eyes to Seeing Machines by Mandyam V. SrinivasanFrom Living Eyes to Seeing Machines by Mandyam V. Srinivasan

From Living Eyes to Seeing Machines

EditorMandyam V. Srinivasan, S. Venkatesh

Hardcover | May 1, 1997

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Many creatures with small brains and simple nervous systems - such as insects - are astonishingly good at coping with the world around them. A fly, for example, can deftly evade a swat, manoeuvre perfectly well in a cluttered world, and execute a flawless landing on the rim of a teacup. Dosuch creatures use clever short-cuts to vision and navigation, and if so, can these tricks be exploited to create new kinds of robots? These questions are explored in this book, which contains articles by experimental biologists as well as computer scientists, in this newly emerging multidisciplinary field. This is a fresh approach to an area of research that has traditionally been dominated by engineering methods, and the book iswritten in a style in which technical jargon is kept to a minimum.
Mandyam V. Srinivasan, Professor of Visual Sciences; Director of the Australian National University's Centre for Visual Science, Australian National University Research School of Biological Sciences. S. Venkatesh, Associate Professor of Computer Science, Curtin University of Technology.
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Title:From Living Eyes to Seeing MachinesFormat:HardcoverDimensions:304 pages, 9.21 × 6.14 × 0.03 inPublished:May 1, 1997Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198577850

ISBN - 13:9780198577850

Reviews

Table of Contents

1. Introduction2. A survey of active vision in invertebrates3. Active acquisition of depth information by the honeybee4. Spatial and non-spatial coding of pattern by the honeybee5. Visual motion processing for figure/ground seggregation, collision avoidance, and optic flow analysis in the pigeon6. Collision avoidance: from the locust eye to a seeing machine7. Artificial evolution of visual control systems for robots8. Insect navigation: low-level solutions to high-level tasks9. Extracting egomotion parameters from optic flow: principal limits for animals and machines10. Primates, bees and UGV's in motion11. Insect inspired behaviours for the autonomous control of mobile robots

Editorial Reviews

`the scope of the book is sensibly limited ... And it succeeds, providing an accessible introduction to the field, and a salutary reminder of what can be achieved by "simple" visual systems.'David H. Foster, Aston University, BMVA News Volume 8 Number 2