Title
Printed Patterns for Enhanced Shape Perception of Papercraft Models
Abstract
Papercraft models can serve as inexpensive prototypes in shape design applications. However, in making the models some geometric detail is necessarily lost, and artificial creases may be visible, thereby limiting the utility of these models. To compensate for these practical limitations, we introduce the use of printed patterns on papercraft models to enhance the perception of the shape they are intended to represent. We propose pattern generation schemes that modulate the sizes, directions, and densities of glyphs of patterns based on geometric attributes. We present a psychophysical experiment designed to explore the effect that printed patterns have on the perception of the papercraft model shapes. We find that models with printed patterns are perceived to represent the intended shape more accurately, and, further, that the type of printed pattern has an impact on the perceived shape
Year
DOI
Venue
2010
10.1111/j.1467-8659.2009.01632.x
COMPUTER GRAPHICS FORUM
Field
DocType
Volume
Glyph,Computer vision,Pattern generation,Shape design,Computer graphics (images),Computer science,Artificial intelligence,Perception,Limiting
Journal
29.0
Issue
ISSN
Citations 
2.0
0167-7055
1
PageRank 
References 
Authors
0.35
18
4
Name
Order
Citations
PageRank
Su Xue1493.82
Xuejin Chen218324.60
Julie Dorsey32535182.80
Holly Rushmeier42294334.25