October 2015
Intermediate to advanced
230 pages
5h 10m
English
Overview
"OpenCV with Python Blueprints" is your ideal guide to learning computer vision through hands-on projects. From creating real-time visual effects to recognizing gestures and reconstructing 3D scenes, this book provides advanced insights into OpenCV techniques for Python developers.
What this Book will help me do
- Utilize OpenCV to create real-time visual effects with image filters.
- Develop applications that recognize gestures and track objects in images or video.
- Gain expertise in 3D scene reconstruction using camera motion data.
- Implement face detection and emotion recognition using machine learning.
- Master feature matching and tracking for advanced computer vision tasks.
Author(s)
Michael Beyeler is a seasoned developer and researcher specializing in computer vision and image processing. With extensive experience in Python and OpenCV, Michael brings practical insights and advanced knowledge to the projects in this book, ensuring clarity and depth for learners.
Who is it for?
This book is perfect for developers who have a foundation in Python and OpenCV and are looking to expand their skills further. If you aim to work on cutting-edge computer vision projects or enhance your application development in this domain, this book offers the advanced techniques and practical examples you need. Readers should have an intermediate understanding of Python and OpenCV to make the most of this resource.
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