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: Hands-on computer vision
  name:
    name part: Shen, Wei
    role:
      role term: creator
    role:
      role term: author
  name:
    name part: Si, Chongjie
    role:
      role term: author
  name:
    name part: Yang, Chen
    role:
      role term: author
  name:
    name part: Yu, Yong
    role:
      role term: author
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2026
    copyright date: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiv, 358 pages) : illustrations
  abstract: Computer vision is an application-oriented field, where various applications correspond to distinct computer vision tasks. Consequently, this book is organized based on the taxonomy of these tasks: image processing, visual recognition, and scene reconstruction. Image processing, the foundational step, includes topics like convolution, edge detection, and image segmentation, often referred to as low-level vision tasks. This section covers classical algorithms. Visual recognition, or high-level vision, involves understanding image semantics and includes topics such as image classification, object detection, and action recognition. Deep learning algorithms are highlighted here. Scene reconstruction focuses on recovering 3D structures from images and includes topics like camera calibration and 3D reconstruction, explored through geometry-based algorithms. Each chapter is presented in Python Notebooks with theoretical explanations, algorithm details, and executable code, allowing readers to focus on text or implementation as needed. Designed for students, educators, researchers, and engineers, this book assumes familiarity with basic mathematics and Python programming. The translation was done using artificial intelligence. Subsequently, a human revision was done primarily in terms of content.
  table of contents: Part I. Introduction to computer vision -- Exploring computer vision -- Part II. Image processing -- Convolution -- Image filtering -- Template matching -- Edge detection -- Corner detection -- SIFT feature detection -- Image stitching -- Image segmentation -- Part III. Visual recognition -- Image classification -- Semantic segmentation -- Object detection -- Instance segmentation -- Human pose estimation -- Action recognition -- Part IV. Scene reconstruction -- Camera calibration -- Motion field and optical flow -- Parallel binocular vision -- 3D reconstruction.
  note: Wei Shen, Chongjie Si, Chen Yang, Yong Yu.
  subject:
    topic: Computer vision
  subject:
    topic: Image processing
  subject:
    topic: Vision par ordinateur
  subject:
    topic: Traitement d'images
  subject:
    topic: image processing
  classification: TA1634 .S44 2026
  classification: 006.3/7
  related item:
    title info:
      title: HANDS-ON COMPUTER VISION
    origin info:
      publisher: [S.l.] : SPRINGER VERLAG, SINGAPOR, 2026
    identifier: (OCoLC)1545631616
  related item:
    title info:
      title: Computer science series
  identifier: 9789819548354 (electronic bk.)
  identifier: 9819548357
  identifier: 9819548349
  identifier: 9789819548347
  location:
    physical location: POD
  record info:
    record content source: YDX
    record creation date: 260110
    record change date: 20260412194821.6
    record identifier: in00005778130
    language of cataloging:
      language term: eng