JOURNAL ARTICLE

Low-Pass Filtered Volumetric Shadows

Marco AmentFilip SadloCarsten DachsbacherDaniel Weiskopf

Year: 2014 Journal:   IEEE Transactions on Visualization and Computer Graphics Vol: 20 (12)Pages: 2437-2446   Publisher: Institute of Electrical and Electronics Engineers

Abstract

We present a novel and efficient method to compute volumetric soft shadows for interactive direct volume visualization to improve the perception of spatial depth. By direct control of the softness of volumetric shadows, disturbing visual patterns due to hard shadows can be avoided and users can adapt the illumination to their personal and application-specific requirements. We compute the shadowing of a point in the data set by employing spatial filtering of the optical depth over a finite area patch pointing toward each light source. Conceptually, the area patch spans a volumetric region that is sampled with shadow rays; afterward, the resulting optical depth values are convolved with a low-pass filter on the patch. In the numerical computation, however, to avoid expensive shadow ray marching, we show how to align and set up summed area tables for both directional and point light sources. Once computed, the summed area tables enable efficient evaluation of soft shadows for each point in constant time without shadow ray marching and the softness of the shadows can be controlled interactively. We integrated our method in a GPU-based volume renderer with ray casting from the camera, which offers interactive control of the transfer function, light source positions, and viewpoint, for both static and time-dependent data sets. Our results demonstrate the benefit of soft shadows for visualization to achieve user-controlled illumination with many-point lighting setups for improved perception combined with high rendering speed.

Keywords:
Computer science Rendering (computer graphics) Computer vision Ray casting Visualization Computer graphics (images) Artificial intelligence Volume rendering Shadow mapping Global illumination Point (geometry) Shadow (psychology) Computation Algorithm Mathematics

Metrics

25
Cited By
8.36
FWCI (Field Weighted Citation Impact)
55
Refs
0.98
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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