• DocumentCode
    2115926
  • Title

    Towards understanding what makes 3D objects appear simple or complex

  • Author

    Sukumar, Sreenivas R. ; Page, David L. ; Koschan, Andreas F. ; Abidi, Mongi A.

  • Author_Institution
    Robot. & Intell. Syst. Lab., Tennessee Univ., Knoxville, TN
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Humans perceive some objects more complex than others and learning or describing a particular object is directly related to the judged complexity. Towards the goal of understanding why the geometry of some 3D objects appear more complex than others, we conducted a psychophysical study and identified contributing attributes. Our experiments conclude that surface variation, symmetry, part count, simpler part decomposability, intricate details and topology are six significant dimensions that influence 3D visual shape complexity. With that knowledge, we present a method of quantifying complexity and show that the informational aspect of Shannonpsilas theory agrees with the human notion of shape complexity.
  • Keywords
    computational complexity; computational geometry; information theory; topology; 3D objects; 3D visual shape complexity; Shannon theory; object geometry; part decomposability; surface variation; topology; Computer aided engineering; Computer vision; Humans; Image analysis; Intelligent robots; Intelligent systems; Layout; Shape measurement; Size measurement; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-2339-2
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2008.4562975
  • Filename
    4562975