Simon J. D. Prince (University College London)

Gebundenes Buch

Computer Vision

Beschreibung

With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision.

Autor

Dr Simon J. D. Prince is a faculty member in the Department of Computer Science at University College London. He has taught courses on machine vision, image processing and advanced mathematical methods. He has a diverse background in biological and computing sciences and has published papers across the fields of computer vision, biometrics, psychology, physiology, medical imaging, computer graphics and HCI.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 600
• Erscheinungstermin: 22. März 2019
• Englisch
• Abmessung: 260mm x 183mm x 36mm
• Gewicht: 1400g
• ISBN-13: 9781107011793
• ISBN-10: 1107011795
• Artikelnr.: 36269665

Rezensionen

'Computer vision and machine learning have married and this book is their child. It gives the machine learning fundamentals you need to participate in current computer vision research. It's really a beautiful book, showing everything clearly and intuitively. I had lots of 'aha!' moments as I read through the book. This is an important book for computer vision researchers and students, and I look forward to teaching from it.' William T. Freeman, Massachusetts Institute of Technology