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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Active Lighting and Its Application for Computer Vision - 40 Years of History of Active Lighting Techniques (Paperback, 1st ed. 2020)
Loot Price: R5,358
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Active Lighting and Its Application for Computer Vision - 40 Years of History of Active Lighting Techniques (Paperback, 1st ed. 2020)
Series: Advances in Computer Vision and Pattern Recognition
Expected to ship within 10 - 15 working days
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This book describes active illumination techniques in computer
vision. We can classify computer vision techniques into two
classes: passive and active techniques. Passive techniques observe
the scene statically and analyse it as is. Active techniques give
the scene some actions and try to facilitate the analysis. In
particular, active illumination techniques project specific light,
for which the characteristics are known beforehand, to a target
scene to enable stable and accurate analysis of the scene.
Traditional passive techniques have a fundamental limitation. The
external world surrounding us is three-dimensional; the image
projected on a retina or an imaging device is two-dimensional. That
is, reduction of one dimension has occurred. Active illumination
techniques compensate for the dimensional reduction by actively
controlling the illumination. The demand for reliable vision
sensors is rapidly increasing in many application areas, such as
robotics and medical image analysis. This book explains this new
endeavour to explore the augmentation of reduced dimensions in
computer vision. This book consists of three parts: basic concepts,
techniques, and applications. The first part explains the basic
concepts for understanding active illumination techniques. In
particular, the basic concepts of optics are explained so that
researchers and engineers outside the field can understand the
later chapters. The second part explains currently available active
illumination techniques, covering many techniques developed by the
authors. The final part shows how such active illumination
techniques can be applied to various domains, describing the issue
to be overcome by active illumination techniques and the advantages
of using these techniques. This book is primarily aimed at 4th year
undergraduate and 1st year graduate students, and will also help
engineers from fields beyond computer vision to use active
illumination techniques. Additionally, the book is suitable as
course material for technical seminars.
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