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
Link To Document :
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