Stealth Shaper: Reflectivity Optimization as Surface Stylization

TL;DR

This paper introduces Stealth Shaper, a surface reflectivity optimization technique that preserves shape integrity while minimizing retroreflectivity, applicable to stealth and architectural design, validated through simulations and real-world tests.

Contribution

It proposes a novel normal-based optimization framework with adaptive mesh subdivision for reflectivity control, improving shape preservation and applicability.

Findings

Effectively minimizes retroreflectivity across diverse shapes

Maintains shape integrity during reflectivity optimization

Demonstrates success with simulations and real-world objects

Abstract

We present a technique to optimize the reflectivity of a surface while preserving its overall shape. The naive optimization of the mesh vertices using the gradients of reflectivity simulations results in undesirable distortion. In contrast, our robust formulation optimizes the surface normal as an independent variable that bridges the reflectivity term with differential rendering, and the regularization term with as-rigid-as-possible elastic energy. We further adaptively subdivide the input mesh to improve the convergence. Consequently, our method can minimize the retroreflectivity of a wide range of input shapes, resulting in sharply creased shapes ubiquitous among stealth aircraft and Sci-Fi vehicles. Furthermore, by changing the reward for the direction of the outgoing light directions, our method can be applied to other reflectivity design tasks, such as the optimization of architectural walls to concentrate light in a specific region. We have tested the proposed method using light-transport simulations and real-world 3D-printed objects.