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Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders

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

Chapter 1: Getting Started with Processing and OpenCV 
  • Processing
  • OpenCV
  • Processing Installation
  • OpenCV Installation
  • Test Run
  • Conclusion
Chapter 2: Image Sources and Representations 
  • Digital Image Fundamentals
  • Images in Processing
  • Moving Images in Processing
  • Matrices and Images in OpenCV
  • Image Conversion Between Processing and OpenCV
  • Conclusion
Chapter 3: Pixel-Based Manipulations 
  • Visual Properties
  • Pixel Color Manipulation
  • Randomness
  • Drawing with Existing Images 
  • Blending Multiple Images 
  • Conclusion 
Chapter 4: Geometry and Transformation
  • Image Transformation 
  • Image Orientation
  • Image Resizing 
  • Affine Transform 
  • Perspective Transform
  • Linear vs. Polar Coordinates 
  • Three-Dimensional Space
  • General Pixel Mapping
  • Conclusion
Chapter 5: Identification of Structure
  • Image Preparation
  • Edge Detection
  • Line Detection 
  • Circle Detection
  • Contours Processing
  • Shape Detection 
  • Conclusion
Chapter 6: Understanding Motion 
  • Effects with Moving Images
  • Frame Differencing 
  • Background Removal 
  • Optical Flow 
  • Motion History 
  • Conclusion
Chapter 7: Feature Detection and Matching
  • Corner Detection 
  • Sparse Optical Flow
  • Feature Detection 
  • Feature Matching 
  • Face Detection
  • People Detection 
  • Conclusion
Chapter 8: Application Deployment and Conclusion
  • Developing Libraries in Processing
  • Exporting Applications from Processing
  • Using System Commands in Processing
  • Optimizing Tracking with the Kalman Filter 
  • Other OpenCV Modules 
  • Conclusion

You will get a PDF (11MB) file

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