Programming Computer Vision with Python

Jan Erik Solem

ISBN 10: 1449316549 / ISBN 13: 9781449316549

Edité par O Reilly Media, 2012

A propos de cet article

2012. 1st Edition. Paperback. If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. Programming Computer Vision with Python teaches computer vision in broad terms that won't bog you down in theory. Instead, you'll find this book to be inspiring and motivating. Num Pages: 272 pages, Illustrations. BIC Classification: UMW; UYQV. Category: (XV) Technical / Manuals. Dimension: 231 x 177 x 14. Weight in Grams: 462. . . . . . Books ship from the US and Ireland.

N° de réf. du vendeur V9781449316549

Détails bibliographiques

• Titre: Programming Computer Vision with Python
• Éditeur: O Reilly Media
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 1449316549
• ISBN à 13 chiffres: 9781449316549
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.

Programming Computer Vision with Python explains computer vision in broad terms that won't bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you've learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.

• Learn techniques used in robot navigation, medical image analysis, and other computer vision applications
• Work with image mappings and transforms, such as texture warping and panorama creation
• Compute 3D reconstructions from several images of the same scene
• Organize images based on similarity or content, using clustering methods
• Build efficient image retrieval techniques to search for images based on visual content
• Use algorithms to classify image content and recognize objects
• Access the popular OpenCV library through a Python interface

À propos de l?auteur

Jan Erik Solem is a Python enthusiast and a computer vision researcher and entrepreneur. He is an applied mathematician and has worked as associate professor, startup CTO, and now also book author. He sometimes writes about computer vision and Python on his blog www.janeriksolem.net. He has used Python for computer vision in teaching, research and industrial applications for many years. He currently lives in San Francisco.