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Название: Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders
Автор: Bryan WC Chung
Издательство: Apress
Год: 2017
Страниц: 292
Формат: PDF
Размер: 11 Mb
Язык: English

Apply the Processing language to tasks involved in computer vision--tasks such as edge and corner detection, recognition of motion between frames in a video, recognition of objects, matching of feature points and shapes in different frames for tracking purposes, and more. You will manipulate images through creative effects, geometric transformation, blending of multiple images, and so forth. Examples are provided.

Pro Processing for Images and Computer Vision with OpenCV is a step-by-step training tool that guides you through a series of worked examples in linear order. Each chapter begins with a basic demonstration, including the code to recreate it on your own system. Then comes a creative challenge by which to engage and develop mastery of the chapter’s topic. The book also includes hints and tips relating to visual arts, interaction design, and industrial best practices.

This book is intended for any developer of artistic and otherwise visual applications, such as in augmented reality and digital effects, with a need to manipulate images, and to recognize and manipulate objects within those images. The book is specifically targeted at those making use of the Processing language that is common in artistic fields, and to Java programmers because of Processing’s easy integration into the Java programming environment.

What You'll Learn
Make use of OpenCV, the open source library for computer vision in the Processing environment
Capture live video streams and examine them frame-by-frame for objects in motion
Recognize shapes and objects through techniques of detecting lines, edges, corners, and more
Transform images by scaling, translating, rotating, and additionally through various distortion effects
Apply techniques such as background subtraction to isolate motion of objects in live video streams
Detect and track human faces and other objects by matching feature points in different images or video frames

Who This Book Is For

Media artists, designers, and creative coders








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