Foundations of Low Vision: Clinical and Functional Perspectives, the ground-breaking text that highlighted the importance of focusing on the functional as well as the clinical implications of low vision, has been completely updated and expanded in this second edition. The revised edition goes even further in its presentation of how best to assess and support both children and adults with low vision and plan programs and services that optimize their functional vision and ability to lead productive and satisfying lives, based on individuals' actual abilities. Part 1, Personal and Professional Perspectives, provides the foundations of this approach, with chapters focused on the anatomy of the eye, medical causes of visual impairment, optics and low vision devices, and clinical low vision services, as well as psychological and social implications of low vision and the history of the field. Part 2 focuses on children and youths, providing detailed treatment of functional vision assessment, instruction, use of low vision devices, orientation and mobility, and assistive technology. Part 3 presents rehabilitation and employment issues for working-age adults and special considerations for older adults.

Designed for students, scientists and engineers interested in learning about the core ideas of vision science, this volume brings together the broad range of data and theory accumulated in this field.

"Foundations of Vision Rehabilitation Therapy continues the legacy of Paul Ponchillia and Sue Ponchillia's seminal work Foundations of Rehabilitation Teaching with Persons Who Are Blind or Visually Impaired. After it was published in 1996, that book quickly established itself as an essential reference for vision rehabilitation professionals. Foundations of Vision Rehabilitation Therapy builds on that important work, reflecting changes in terminology and technology, while also incorporating best practices based on the past decades of evidence. It reflects the contemporary understanding of adult learning and skill building, providing proven techniques to help people with visual impairments develop skills and gain confidence that will equip them to lead independent, fulfilling lives"--

From a renowned author team comes a clinically oriented approach to the introductor study of binocular vision. Essential reading for second-year optometry students, this vital core text covers testing procedures, diagnostic issues, and treatment modalities in preparation for more advanced clinical work. Key points to remember for national board exams are highlighted and discussions of clinical applications and procedures abound in every chapter.

Foundations of Orientation and Mobility, the classic professional reference and textbook has been completely revised and expanded to two volumes by the most knowledgeable experts in the field. The new third edition includes both the latest research in O&M and expanded information on practice and teaching strategies. Volume 1, History and Theory, includes the bases of O&M knowledge, including perception, orientation, low vision, audition, kinesiology, psychosocial issues, and learning theories, as well as chapters on technology, dog guides, orientation aids, and environmental accessibility. A section on the profession of O&M includes its international history; administration, assessment and program planning; and a chapter on research in O&M. No O&M student or professional can afford to be without this essential resource.

Designed for students, scientists and engineers interested in learning about the core ideas of vision science, this volume brings together the broad range of data and theory accumulated in this field.

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.