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Introduction

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Authors: Lehn Karsten / Gotzes Merijam / Klawonn Frank / Lehn Karsten / Gotzes Merijam / Klawonn Frank

Extracted Abstract:

sense. An image not only can represent a realistic scene from the everyday world, but it can also be graphics such as histograms or pie charts, or the graphical user interface of the software. In the following section, some application fields of computer graphics are presented as examples to give an impression of the range of tasks in this discipline. This is followed by explanations of the main steps in computer graphics and an overview of how a rendering pipeline works using the graphics pipeline of theOpen Graphics Library (OpenGL). Computer graphics belongs to the field ofvisual computing. Visual computing, also known as image informatics, deals with both image analysis (acquisition, pro- cessing and analysis of image data) and image synthesis (production of images from data). Visual computing is an amalgamation of individual merging fields such as image processing, computer graphics, computer vision, human–machine interaction and machine learning. Computer graphics is an essential part of image synthesis, just as image processing is an essential part of image analysis. Therefore, in basic intro- ductions to visual computing, the two disciplines of computer graphics and image processing are taught together. This book also integrates solutions to image process- ing problems, such as the reduction of aliasing in rasterisation or the representation of object surfaces using textures. Further links to computer graphics exist with neighbouring disciplines such as computer-aided design/manufacturing (CAD/CAM), information visualisation, scientific visualisation and augmented reality (AR) and virtual reality (VR) (see Chap.11). © Springer Nature Switzerland AG 2023 K. Lehn et al.,

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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