Fr. 103.20

Vision - IMAGES,SIGNALS &NEURAL NET..(V19)

English · Hardback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more










At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and optics, Hrault presents the principles of the primate's visual system in terms of anatomy and functionality. Then, the neuronal circuitry of the retina is analyzed in terms of spatiotemporal filtering. This basic model is extended to the concept of neuromorphic circuits for motion processing and to the processing of color in the retina. For more in-depth studies, the adaptive non-linear properties of the photoreceptors and of ganglion cells are addressed, exhibiting all the power of the retinal pre-processing of images as a system of information cleaning suitable for further cortical processing. As a target of retinal information, the primary visual area is presented as a bank of filters able to extract valuable descriptors of images, suitable for categorization and recognition and also for local information extraction such as saliency and perspective. All along the book, many comparisons between the models and human perception are discussed as well as detailed applications to computer vision.

Product details

Authors Jeanny Herault, Jeanny Herault
Publisher World Scientific
 
Languages English
Product format Hardback
Released 04.03.2010
 
EAN 9789814273688
ISBN 978-981-4273-68-8
No. of pages 308
Dimensions 157 mm x 235 mm x 21 mm
Weight 599 g
Series Progress In Neural Processing
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.