# Non-Photorealistic Rendering of Layered Materials: A Multispectral Approach

arXiv: https://arxiv.org/abs/2109.00780 · HTML: https://mlsanity.com/paper/2109.00780/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 51 references that are in the map.
- First posted on arXiv 2 Sep 2021.

## Builds on (most cited first, 1 of 1)

- [Refining Geometry from Depth Sensors using IR Shading Images](https://mlsanity.com/paper/1608.05204/) (2016)

## Built on by (most cited first, 1 of 1)

- [3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials](https://mlsanity.com/paper/2112.15589/) (2021)

## Abstract (arXiv)

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.