LightPaintAR: Assist Light Painting Photography with Augmented Reality

by | Jun 6, 2021

Authors: Tianyi Wang, Xun Qian, Fengming He, Karthik Ramani
In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Light painting photos are created by moving light sources in mid-air while taking a long exposure photo. However, it is challenging for novice users to leave accurate light traces without any spatial guidance. Therefore, we present LightPaintAR, a novel interface that leverages augmented reality (AR) traces as a spatial reference to enable precise movement of the light sources. LightPaintAR allows users to draft, edit, and adjust virtual light traces in AR, and move light sources along the AR traces to generate accurate light traces on photos. With LightPaintAR, users can light paint complex patterns with multiple strokes and colors. We evaluate the effectiveness and the usability of our system with a user study and showcase multiple light paintings created by the users. Further, we discuss future improvements of LightPaintAR.

Tianyi Wang

Tianyi Wang

Tianyi Wang is a Ph.D. student in the School of Mechanical Engineering at Purdue University. Before joining the C Design Lab, Tianyi received his bachelor's degree from the Department of Precision Instrument in Tsinghua University, Beijing in 2016. Tianyi's current research interests focus on utilizing the technology of robotics, augmented reality as well as deep learning in the area of Human-Computer Interaction.