Non-Photorealistic Rendering of Layered Materials: A Multispectral Approach

TL;DR

This paper introduces multispectral rendering techniques for visualizing layered biological materials using near-infrared and ultraviolet data, enhancing non-photorealistic visualization beyond visible spectrum limitations.

Contribution

It is the first to utilize multispectral data from NIR and UV spectra for NPR, developing algorithms to process wavelength-dependent surface normals and reflectance for improved visualization.

Findings

Effective spectral band shading highlights shape features at multiple scales.

User study confirms system's usefulness in biological sciences.

Demonstrates enhanced understanding of biological specimens through multispectral NPR.

Abstract

We present multispectral rendering techniques for visualizing layered materials found in biological specimens. We are the first to use acquired data from the near-infrared and ultraviolet spectra for non-photorealistic rendering (NPR). Several plant and animal species are more comprehensively understood by multispectral analysis. However, traditional NPR techniques ignore unique information outside the visible spectrum. We introduce algorithms and principles for processing wavelength dependent surface normals and reflectance. Our registration and feature detection methods are used to formulate stylization effects not considered by current NPR methods including: Spectral Band Shading which isolates and emphasizes shape features at specific wavelengths at multiple scales. Experts in our user study demonstrate the effectiveness of our system for applications in the biological sciences.