 Название: Machine vision and Image recognition
Автор: Jovan Pehcevski
Издательство: Arcler Press
Год: 2020
Страниц: 348
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB
Computer vision is one of the areas studied by the field of Artificial Intelligence (AI). The computer vision combines computer intelligence with digitized visual information. Pattern recognition is considered as the heart of the computer vision. Machine Vision and Image Recognition informs the readers about the behavior fusion for visually guided service robots and the approaches and limitation in achieving vision in machine. The readers are informed about the use of beacon tracker for dynamic omnidirectional vision localization and explained the QoE assessment of will transmission. They are explained about the concepts that are there to be learnt in neuromorphic vision systems and told about an automatic assembling system for sealing rings.
Also discussed in the book is the design of omnidirectional tilt sensor, modelling and positioning system in sand casting process, raising sow and procreating of processing, augmented reality applications, 3D autonomous navigation line, all of which and even more is based on machine vision.
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Machine vision and Image recognition 
