Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision.
Good vision is more than 20/20 on a Snellen visual acuity chart. The modern ophthalmologist understands that contrast sensitivity, near and distance vision, performance under light and dark conditions, and the brain's interpretation of input from the sensory apparatus, are all important elements in patients' quality of vision. In Quality of Vision: Essential Optics for the Ophthalmic Surgeon, ophthalmologist and optics expert Dr. Jack T. Holladay explores the elements of vision that lie beyond Snellen testing. He explains the Quality of Vision addresses: - Measuring and treating astigmatism in corneal and IOL surgery - The importance of correcting spherical aberration in cataract and refractive surgery - IOL calculations after refractive surgery - Promising approaches to the correction of presbyopia - Other practical topics the clinician can use every day Recognized as the leader in ophthalmic optics, Dr. Holladay incorporates practical aspects of daily practice into each chapter as he expertly explains the scientific principles, mathematical formulas, and theories behind these important issues. Additionally, Quality of Vision includes numerous color illustrations to provide visual representations of the text's key points. Dr. Holladay discusses what's on everyone's mind: - How to take the best measurements and perform the best calculations to ensure good outcomes in cataract and refractive surgery - How neural adaptation can improve outcomes - How today's excimer laser systems deliver excellent optical correction, and why tomorrow's systems will perform even better Quality of Vision: Essential Optics for the Ophthalmic Surgeon is the most complete and practical reference for ophthalmologists looking to increase their understanding of optical physics and their ability to deliver good vision to their patients after cataract and refractive surgery.
Recent vision research has led to the emergence of new techniques that offer exciting potential for a more complete assessment of vision in clinical, industrial, and military settings. Emergent Techniques for Assessment of Visual Performance examines four areas of vision testing that offer potential for improved assessment of visual capability including: contrast sensitivity function, dark-focus of accommodation, dynamic visual acuity and dynamic depth tracking, and ambient and focal vision. In contrast to studies of accepted practices, this report focuses on emerging techniques that could help determine whether people have the vision necessary to do their jobs. In addition to examining some of these emerging techniques, the report identifies their usefulness in predicting performance on other visual and visual-motor tasks, and makes recommendations for future research. Emergent Techniques for Assessment of Visual Performance provides summary recommendations for research that will have significant value and policy implications for the next 5 to 10 years. The content and conclusions of this report can serve as a useful resource for those responsible for screening industrial and military visual function.
Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.
Foremost neurophysiologists and psychophysicists provide pertinent information on the nature of representation at the earliest stages as this will constrain the disposition of all subsequent processing. This processing is discussed in several different types of visual perception.
In Black Utopias Jayna Brown takes up the concept of utopia as a way of exploring alternative states of being, doing, and imagining in Black culture. Musical, literary, and mystic practices become utopian enclaves in which Black people engage in modes of creative worldmaking. Brown explores the lives and work of Black women mystics Sojourner Truth and Rebecca Cox Jackson, musicians Alice Coltrane and Sun Ra, and the work of speculative fiction writers Samuel Delany and Octavia Butler as they decenter and destabilize the human, radically refusing liberal humanist ideas of subjectivity and species. Brown demonstrates that engaging in utopian practices Black subjects imagine and manifest new genres of existence and forms of collectivity. For Brown, utopia consists of those moments in the here and now when those excluded from the category human jump into other onto-epistemological realms. Black people—untethered from the hope of rights, recognition, or redress—celebrate themselves as elements in a cosmic effluvium.