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OpenCV 3 Computer Vision Application Programming Cookbook

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Making your applications see has never been easier with OpenCV. You can teach your robot to follow your cat, identify members of One Direction, or find the right colors for your redecoration. This comprehensive guide introduces the OpenCV library and helps you build your first computer vision program. You will explore various computer vision algorithms and essential concepts in image and video analysis, enabling you to create your own applications. The book guides you through installing and deploying the OpenCV library while emphasizing good programming practices. You will learn to read and write images, manipulate pixels, and apply techniques for image enhancement and shape analysis. Specific image features such as lines, circles, and corners will be detected, and you will be introduced to mathematical morphology and image filtering. Recent methods for image matching and object recognition are covered, along with techniques for processing video from files or cameras and tracking moving objects. Camera calibration and multiple-view analysis are also explained. Lastly, you'll become familiar with modern approaches in machine learning and object classification, equipping you with the skills to leverage OpenCV effectively.

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OpenCV 3 Computer Vision Application Programming Cookbook, Robert Laganiére

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Released
2016
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Title
OpenCV 3 Computer Vision Application Programming Cookbook
Language
English
Publisher
Packt
Released
2016
Format
Paperback
Pages
474
ISBN10
1786469715
ISBN13
9781786469717
Series
Description
Making your applications see has never been easier with OpenCV. You can teach your robot to follow your cat, identify members of One Direction, or find the right colors for your redecoration. This comprehensive guide introduces the OpenCV library and helps you build your first computer vision program. You will explore various computer vision algorithms and essential concepts in image and video analysis, enabling you to create your own applications. The book guides you through installing and deploying the OpenCV library while emphasizing good programming practices. You will learn to read and write images, manipulate pixels, and apply techniques for image enhancement and shape analysis. Specific image features such as lines, circles, and corners will be detected, and you will be introduced to mathematical morphology and image filtering. Recent methods for image matching and object recognition are covered, along with techniques for processing video from files or cameras and tracking moving objects. Camera calibration and multiple-view analysis are also explained. Lastly, you'll become familiar with modern approaches in machine learning and object classification, equipping you with the skills to leverage OpenCV effectively.