DocumentCode
639349
Title
Improving the Visual Comprehension of Point Sets
Author
Katz, Sarah ; Tal, Avishay
fYear
2013
fDate
23-28 June 2013
Firstpage
121
Lastpage
128
Abstract
Point sets are the standard output of many 3D scanning systems and depth cameras. Presenting the set of points as is, might "hide" the prominent features of the object from which the points are sampled. Our goal is to reduce the number of points in a point set, for improving the visual comprehension from a given viewpoint. This is done by controlling the density of the reduced point set, so as to create bright regions (low density) and dark regions (high density), producing an effect of shading. This data reduction is achieved by leveraging a limitation of a solution to the classical problem of determining visibility from a viewpoint. In addition, we introduce a new dual problem, for determining visibility of a point from infinity, and show how a limitation of its solution can be leveraged in a similar way.
Keywords
computer graphics; data reduction; 3D scanning systems; data reduction; depth cameras; point sets; visual comprehension; Approximation algorithms; Image reconstruction; Noise; Observers; Surface reconstruction; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location
Portland, OR
ISSN
1063-6919
Type
conf
DOI
10.1109/CVPR.2013.23
Filename
6618867
Link To Document