Python Computer Vision PDF

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Python Computer vision programming is the authoritative practice guide of Computer vision programming, which relies on the Python language to explain the basic theory and algorithm, and analyzes the object recognition, content-based image search, optical character recognition, optical flow method, tracking, three-dimensional reconstruction, stereo imaging, augmented reality, Attitude estimation, panorama creation, image segmentation, noise reduction, image grouping and other techniques. In addition, the exercises included in the book also allow the reader to consolidate and learn to apply programming knowledge.
"Python Computer Vision Programming" is suitable for readers who have certain programming and mathematical foundations, who want to understand basic theories and algorithms of computer vision, as well as researchers and practitioners in the fields of computer science, signal processing, physics, applied Mathematics and statistics, neurophysiology, and cognitive science.
Jan Erik Solem
Associate Professor (Mathematics Imaging Group) at Longde University in Sweden, Polar Rose's founder and CTO, Computer vision researcher, Python enthusiast, and technical book writer, often attends international conferences and lectures on computer vision, image analysis, machine intelligence and more. He focuses on 3D reconstruction, variational problems and optimization, image segmentation and recognition, shape analysis, many years of Python computer vision teaching, research and industry application experience, technical blog for http://www.janeriksolem.net. There is also a book computing with Python:an Introduction-Python for science and engineering.
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Python Computer Vision PDF