Aperture-aware lens design
| Arjun Teh | Ioannis Gkioulekas | Matthew O'Toole |
ACM SIGGRAPH 2024 Conference Proceedings (2024)
Optics designers use simulation tools to assist them in designing lenses for various applications. Commercial tools rely on finite differencing and sampling methods to perform gradient-based optimization of lens design objectives. Recently, differentiable rendering techniques have enabled more efficient gradient calculation of these objectives. However, these techniques are unable to optimize for light throughput, often an important metric for many applications. We develop a method for calculating the gradients of optical systems with respect to both focus and light throughput. We formulate lens performance as an integral loss over a dynamic domain, which allows for the use of differentiable rendering techniques to calculate the required gradients. We also develop a ray tracer specifically designed for refractive lenses and derive formulas for calculating gradients that simultaneously optimize for focus and light throughput. Explicitly optimizing for light throughput produces lenses that outperform traditional optimized lenses that tend to prioritize for only focus. To evaluate our lens designs, we simulate various applications where our lenses: (1) improve imaging performance in low-light environments, (2) reduce motion blur for high-speed photography, and (3) minimize vignetting for large-format sensors.
Arjun Teh, Ioannis Gkioulekas, Matthew O'Toole (2024). Aperture-aware lens design. ACM SIGGRAPH 2024 Conference Proceedings.
@article{Teh:2024:AALD,
author = {Arjun Teh and Ioannis Gkioulekas and Matthew O'Toole},
title = {Aperture-aware lens design},
journal = {ACM SIGGRAPH 2024 Conference Proceedings},
year = {2024},
publisher = {ACM},
address = {New York, NY, USA},
}
