rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Pro Processing for Images and Computer Vision with OpenCV
    sub title: Solutions for Media Artists and Creative Coders
  name:
    name part: Chung, Bryan WC.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 293 p. 211 illus., 177 illus. in color. online resource.
  abstract: 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.
  table of contents: 1. Getting Started with Processing and OpenCV -- 2. Image Sources and Representations -- 3. Pixel-Based Manipulation -- 4. Geometry and Transformation -- 5. Identification of Structure -- 6. Understanding Motion -- 7. Feature Detection and Matching -- 8. Application Deployment and Conclusion.
  note: by Bryan WC Chung.
  subject:
    topic: Computer science
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Computer Graphics
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Game Development
  subject:
    topic: Pattern Recognition
  classification: T385
  classification: 006.6
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484227756
  identifier: http://dx.doi.org/10.1007/978-1-4842-2775-6
  record info:
    record creation date: 170826
    record change date: 20170826141304.0
    record identifier: 978-1-4842-2775-6