Share Email Print

Proceedings Paper

Time-critical adaptive visualization method of 3D city models
Author(s): Yeting Zhang; Qing Zhu; Mingyuan Hu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The development of hardware and software is not sufficient to meet the real-time visualization requirements of large scale 3D City Models. How to adaptively coordinate the speed and quality of rendering according to the data volume and hardware/software environment is therefore a critical issue. This paper proposes an algorithm which predicts the rendering time according to the features of 3D City Models at first, and then to calculate the object importance value based on the mathematical model which considers the indicators of each object: location, distance, visibility and semantics, and finally to select the object set to be rendered by a fast recursive algorithm. There are five factors selected to test their influence on rendering time: triangle number, vertex number, texture number, screen pixel number, and the texture image size. According to multivariate statistical theory, experimental results prove that both geometry and texture data size are significant for rendering time of 3D City Models. A typical 3D building group models are employed for experimental analysis. The results show that the method introduced in this paper is accurate to predict the time of rendering 3D models with detailed texture. The adaptive rendering performance is also significantly improved.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880P (15 November 2007); doi: 10.1117/12.747741
Show Author Affiliations
Yeting Zhang, Wuhan Univ. (China)
Qing Zhu, Wuhan Univ. (China)
Mingyuan Hu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top