Neurovision Rehabilitation Guide is a valuable resource for the health care professional working with patients with visual dysfunction as a consequence of traumatic brain injury and neurological disorders. It covers the concepts of visual dysfunction as well as assessment and step-by-step treatment plans. The guide covers the neurology of visual processing before and after a brain injury. It explains the concepts behind neurovision rehabilitation and how to go about examining and treating the patient’s visual deficits. It also covers the evaluation of visual perceptual deficits and treatment of the traumatic brain injury patient. The guide contains more than 80 vision therapy procedures, with step-by-step instructions as well as sequencing guides for each category of therapy (oculomotor, accommodation, binocular, perceptual).

Neurology of Vision and Visual Disorders, Volume 178 in the Handbooks of Neurology series provides comprehensive summaries of recent research on the brain and nervous system. This volume reviews alterations in vision that stem from the retina to the cortex. Coverage includes content on vision and driving derived from the large amount of time devoted in clinics to determining who is safe to drive, along with research on the interplay between visual loss, attention and strategic compensations that may determine driving suitability. The title concludes with vision therapies and the evidence behind these approaches. Each chapter is co-written by a basic scientist collaborating with a clinician to provide a solid underpinning of the mechanisms behind the clinical syndromes. - Reviews the neurological underpinnings of visual perception disorders - Encompasses the cortex to the retina - Covers functional organization, electrophysiology and subcortical visual pathways - Discusses assessment, diagnosis and management of visual perception disorders - Includes international experts from Australia, Canada, Denmark, Germany, Singapore, and the UK and US

"This book provides interdisciplinary research that evaluates the performance of machine visual models and systems in comparison to biological systems, blending the ideas of current scientific knowledge and biological vision"--

Providing the information required to understand, advocate for, and supply post-acute vision rehabilitative care following brain injury, Vision Rehabilitation: Multidisciplinary Care of the Patient Following Brain Injury bridges the gap between theory and practice. It presents clinical information and scientific literature supporting the diagnostic

The brain-like architecture of artificial neural networks makes them ideal for tackling problems that are too difficult for conventional architectures, specifically problems that involve pattern recognition or other perceptual tasks. Neuro-Computers: Optimization Based Learning provides an intermediate-level exposition of the exciting world of neuro-computers. It presents the importance of neuro-computing to artificial intelligence, giving historical background and present-day implementation options. The book demonstrates the superiority of the adaptive search strategy over conventional fixed parameter searches performed by backpropagation algorithms. It then explores global optimization strategy and presents genetic algorithms as viable methods to train neuro computers on non-trivial problems. This self-contained volume is delivered in a format that is suitable for graduate students, as well as researchers who want to begin work in neuro-computing or related artificial intelligence applications.

In this paper, an active vision system is developed which is based on image strategy. The image based control structure uses the optical flow algorithm for motion detection of an object in a visual scene. Because the optical flow is very sensitive to changes in illumination or to the quality of the video, it was necessary to use median filtering and erosion and dilatation morphological operations for the decrease of erroneous blobs residing in individual frames. Since the image coordinates of the object are subjected to noise, the Kalman filtering technique is adopted for robust estimation. A fuzzy controller based on the fuzzy condensed algorithm allows real time work for each captured frame. Finally, the proposed active vision system has been simulated in the development/simulation environment Matlab/Simulink.