Modeling Human Perception of 3D Scenes


Çipiloğlu Yıldız Z., Bülbül M. A., Çapın T. K.

in: Intelligent Scene Modeling and Human-Computer Interaction, Nadia Magnenat Thalmann,Jian Jun Zhang,Manoj Ramanathan,Daniel Thalmann, Editor, Springer, London/Berlin , Zürich, pp.67-88, 2021

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2021
  • Publisher: Springer, London/Berlin 
  • City: Zürich
  • Page Numbers: pp.67-88
  • Editors: Nadia Magnenat Thalmann,Jian Jun Zhang,Manoj Ramanathan,Daniel Thalmann, Editor
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

The ultimate goal of computer graphics is to create images for viewing by people. The artificial intelligence-based methods should consider what is known about human visual perception in vision science literature. Modeling visual perception of 3D scenes requires the representation of several complex processes. In this chapter, we survey artificial intelligence and machine learning-based solutions for modeling human perception of 3D scenes. We also suggest future research directions. The topics that we cover include are modeling human visual attention, 3D object quality perception, and material recognition.