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: Computer Vision, Imaging and Computer Graphics Theory and Applications
    sub title: 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11–14, 2015, Revised Selected Papers
  name:
    name part: Braz, José.
    role:
      role term: editor.
  name:
    name part: Pettré, Julien.
    role:
      role term: editor.
  name:
    name part: Richard, Paul.
    role:
      role term: editor.
  name:
    name part: Kerren, Andreas.
    role:
      role term: editor.
  name:
    name part: Linsen, Lars.
    role:
      role term: editor.
  name:
    name part: Battiato, Sebastiano.
    role:
      role term: editor.
  name:
    name part: Imai, Francisco.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIII, 474 p. 255 illus. in color. online resource.
  abstract: This book constitutes thoroughly revised and selected papers from the 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2015, held in Berlin, Germany, in March 2015. VISIGRAPP comprises GRAPP, International Conference on Computer Graphics Theory and Applications; IVAPP, International Conference on Information Visualization Theory and Applications; and VISAPP, International Conference on Computer Vision Theory and Applications. The 23 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 529 submissions. The book also contains one invited talk in full-paper length. The regular papers were organized in topical sections named: computer graphics theory and applications; information visualization theory and applications; and computer vision theory and applications. .
  table of contents: First-person Palm Pose Tracking and Gesture Recognition in Augmented Reality -- Computer Graphics Theory and Applications A Sketch-based Interface for 2D Illustration of Vascular Structures, Diseases, and Treatment Options with Real-time Blood Flow -- GPU Accelerated Computation of Geometric Descriptors in Parametric Space -- Interference Shader for Multilayer Films -- Enhancement of Direct Augmented Reality Object Selection by Gravity-adapted Target Resizing -- Information Visualization Theory and Applications. A Linear Time Algorithm for Embedding Arbitrary Knotted Graphs into a 3-Page Book -- Leaf Glyphs: Story Telling and Data Analysis using Environmental Data Glyph Metaphors -- Compression and Heuristic Caching for GPU Particle Tracing in Turbulent Vector Fields.-Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examples -- Computer Vision Theory and Applications. A Hybrid Approach for Individual and Group Activity Analysis in Crowded Scene -- Fusing Intertial Data with Vision for Enhanced Image Understanding -- Multiple View 3D Reconstruction with Rolling Shutter Cameras -- Fully-automatic Target Detection and Tracking for Real-time, Airborne Imaging Applications -- A Generalized Structure from Motion Framework for Central Projection Cameras -- TVL1 Planarity Regularization for 3D Shape Approximation -- Traffic Sign Recognition using Visual Attributes and Bayesian Network -- Novel Methods for Estimating Surface Normals from Afine Transformations -- Semi-automatic Hand Annotation of Egocentric Recordings -- Pedestrian Detection and Tracking in Challenging Surveillance Videos -- Algorithmic Optimizations in the HMAX Model Targeted for Efficient Object Recognition -- Estimating Visual Motion using an Event-based Artificial Retina -- CURFIL: A GPU Library for Image Labeling with Random Forests -- C-EFIC: Color and Edge based Foreground Background Segmentation with Interior Classification -- Choosing the Best Embedded Pr…
  note: edited by José Braz, Julien Pettré, Paul Richard, Andreas Kerren, Lars Linsen, Sebastiano Battiato, Francisco Imai.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  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: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Pattern Recognition
  subject:
    topic: Data Mining and Knowledge Discovery
  classification: T385
  classification: 006.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Communications in Computer and Information Science, 598
  identifier: 9783319299716
  identifier: http://dx.doi.org/10.1007/978-3-319-29971-6
  record info:
    record creation date: 160330
    record change date: 20161013171810.0
    record identifier: 978-3-319-29971-6