March 2020
Intermediate to advanced
366 pages
9h 8m
English
book
OpenCV 4 with Python Blueprints - Second Edition
by Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler
Overview
Dive into the practical world of computer vision with 'OpenCV 4 with Python Blueprints'. This book emphasizes hands-on projects to immerse you in the concepts and tools of OpenCV 4 and Python 3.8. From image manipulation to 3D reconstruction and neural network-based object detection, you'll learn to build dynamic and advanced computer vision applications.
What this Book will help me do
- Create real-time visual effects using cutting-edge image filtering techniques.
- Develop gesture recognition systems leveraging tools like Kinect depth sensors.
- Apply feature extraction and matching for advanced object tracking.
- Reconstruct 3D scenes using 2D camera motion and modern computer vision techniques.
- Detect and classify objects and emotions using deep learning frameworks.
Author(s)
Dr. Menua Gevorgyan and Mamikonyan, along with Michael Beyeler, are seasoned experts in the fields of computer vision and machine learning. They bring a blend of academic insight and practical application to their writing. Through their combined efforts, they aim to make advanced concepts in OpenCV accessible and engaging for readers.
Who is it for?
This book is tailor-made for computer vision enthusiasts, developers keen to sharpen their OpenCV skills, and Python programmers aiming to tackle advanced image processing challenges. It's ideal for readers who are intermediate in python programming and have basic familiarity with computer vision concepts, looking to expand their practical expertise.
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