From Living Eyes to Seeing MachinesMandyam V. Srinivasan, Svethan Venkatesh 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. Do such 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 is written in a style in which technical jargon is kept to a minimum. |
Contents
List of contributors | 1 |
A survey of active vision in invertebrates | 16 |
Active acquisition of depth information by honeybees | 37 |
Copyright | |
10 other sections not shown
Common terms and phrases
active algorithm Aloimonos analysed angle angular animal artificial axis bars bees Bees trained behaviour biological camera centre circles Collett collision colour Comparative Physiology compound eye computational Computer Vision cones corridor cues detect detectors direction discrimination distance E-vector pattern edge environment estimates evolved excitation excitatory Experimental filters flight flow field flying frontal Frost honeybees horizontal Horridge image motion image velocity inhibition inhibitory input insects Journal of Comparative lateral inhibition layer Lehrer LGMD locations locust machine vision mantis shrimp measure mechanisms mobile robot motion field movement moving Nalbach navigation neural network neurones optic flow orientation output panels pathway photoreceptors plane polarization position processing radial range real robot receptive field relative response retina rotation sensors shown in Fig shows simulation spatial speed Srinivasan stimulus strategy symmetry target task tion trained translation unit vectors vision visual field visual motion visual system Wehner