# LumiPath -- Towards Real-time Physically-based Rendering on Embedded   Devices

**Authors:** Laura Fink, Sing Chun Lee, Jie Ying Wu, Xingtong Liu, Tianyu Song,, Yordanka Stoyanova, Marc Stamminger, Nassir Navab, Mathias Unberath

arXiv: 1903.03837 · 2019-08-19

## TL;DR

This paper introduces LumiPath, a novel real-time physically-based rendering method optimized for embedded devices like AR headsets, enabling improved medical visualization despite hardware constraints.

## Contribution

It presents a new light field sampling technique that balances image quality and computational efficiency for real-time rendering on limited hardware.

## Key findings

- Achieves real-time rendering on embedded devices
- Demonstrates medical visualization applications
- Open-source implementation available

## Abstract

With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains. These have expeditiously applied to medicine, where it is a powerful tool for intuitive 3D data visualization. Embedded devices such as optical see-through head-mounted displays (OST HMDs) have been a trend for medical augmented reality. However, leveraging the obvious benefits of physically-based rendering remains challenging on these devices because of limited computational power, memory usage, and power consumption. We navigate the compromise between device limitations and image quality to achieve reasonable rendering results by introducing a novel light field that can be sampled in real-time on embedded devices. We demonstrate its applications in medicine and discuss limitations of the proposed method. An open-source version of this project is available at https://github.com/lorafib/LumiPath which provides full insight on implementation and exemplary demonstrational material.

## Full text

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## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/1903.03837/full.md

## References

14 references — full list in the complete paper: https://tomesphere.com/paper/1903.03837/full.md

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Source: https://tomesphere.com/paper/1903.03837