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: Shape from Positional-Contrast
    sub title: Characterising Sketches with Qualitative Line Arrangements
  name:
    name part: Gottfried, Björn.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 214 p. online resource.
  abstract: Graphical queries for the purpose of searching for pictorial information are of growing interest in areas where pictures provide valuable information, including, for instance, design, architecture, and engineering. Sketching graphical queries is a natural way of revealing the visual appearance of objects one has in mind. Björn Gottfried develops computationally effective concepts for dealing with shape, in particular imprecise and incomplete sketched shapes. He exemplarily applies his method using graphical queries to search for historical objects. Specifying objects graphically, he shows that the new method is in fact capable of dealing with imprecise sketches. Generally speaking, the notion of positional-contrast is introduced. It defines how patterns can be robustly dealt with. That is, the new representation distinguishes patterns by how they relate with regard to spatial relations. This notion can be applied for several purposes, including pattern recognition, motion analysis, and texture analysis.
  table of contents: Sketches -- The imprecision of sketches -- Theory -- Qualitative line arrangements -- Characterising polygons qualitatively -- Evaluation -- Applying qualitative line arrangements -- Positional-contrast.
  note: by Björn Gottfried.
  subject:
    topic: Computer science
  subject:
    topic: Computer graphics
  subject:
    topic: Sociology
  subject:
    topic: Computer Science
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Sociology, general
  classification: T385
  classification: TA1637-1638
  classification: TK7882.P3
  classification: 006.6
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783835091634
  identifier: http://dx.doi.org/10.1007/978-3-8350-9163-4
  record info:
    record creation date: 100301
    record change date: 20151204151143.0
    record identifier: 978-3-8350-9163-4