Printed Perforated Lampshades for Continuous Projective Images

TL;DR

This paper introduces a method for designing 3D-printed perforated lampshades that project detailed grayscale images onto walls by optimally distributing tiny tubes over the lampshade surface, balancing image quality and structural constraints.

Contribution

It presents a novel computational approach using capacity-constrained Voronoi tessellations to determine the optimal distribution and parameters of perforations for image projection.

Findings

Successfully projects continuous grayscale images onto walls.

Balances image detail with structural integrity constraints.

Provides a computational framework for designing perforated lampshades.

Abstract

We present a technique for designing 3D-printed perforated lampshades, which project continuous grayscale images onto the surrounding walls. Given the geometry of the lampshade and a target grayscale image, our method computes a distribution of tiny holes over the shell, such that the combined footprints of the light emanating through the holes form the target image on a nearby diffuse surface. Our objective is to approximate the continuous tones and the spatial detail of the target image, to the extent possible within the constraints of the fabrication process. To ensure structural integrity, there are lower bounds on the thickness of the shell, the radii of the holes, and the minimal distances between adjacent holes. Thus, the holes are realized as thin tubes distributed over the lampshade surface. The amount of light passing through a single tube may be controlled by the tube's radius and by its direction (tilt angle). The core of our technique thus consists of determining a suitable configuration of the tubes: their distribution across the relevant portion of the lampshade, as well as the parameters (radius, tilt angle) of each tube. This is achieved by computing a capacity-constrained Voronoi tessellation over a suitably defined density function, and embedding a tube inside the maximal inscribed circle of each tessellation cell. The density function for a particular target image is derived from a series of simulated images, each corresponding to a different uniform density tube pattern on the lampshade.