JOURNAL ARTICLE

Adaptive real-time level-of-detail based rendering for polygonal models

Jun XiaJihad El‐SanaAmitabh Varshney

Year: 1997 Journal:   IEEE Transactions on Visualization and Computer Graphics Vol: 3 (2)Pages: 171-183   Publisher: Institute of Electrical and Electronics Engineers

Abstract

We present an algorithm for performing adaptive real-time level-of-detail-based rendering for triangulated polygonal models. The simplifications are dependent on viewing direction, lighting, and visibility and are performed by taking advantage of image-space, object-space, and frame-to-frame coherences. In contrast to the traditional approaches of precomputing a fixed number of level-of-detail representations for a given object, our approach involves statically generating a continuous level-of-detail representation for the object. This representation is then used at run time to guide the selection of appropriate triangles for display. The list of displayed triangles is updated incrementally from one frame to the next. Our approach is more effective than the current level-of-detail-based rendering approaches for most scientific visualization applications, where there are a limited number of highly complex objects that stay relatively close to the viewer. Our approach is applicable for scalar (such as distance from the viewer) as well as vector (such as normal direction) attributes.

Keywords:
Computer science Rendering (computer graphics) Computer graphics (images) Real-time rendering Visualization Computer vision Scientific visualization Representation (politics) Computer graphics Artificial intelligence

Metrics

225
Cited By
15.12
FWCI (Field Weighted Citation Impact)
42
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Data Visualization and Analytics
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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