Computational Imaging in Projection Mapping

Abstract

Projection mapping or spatial augmented reality (SAR) has been tremendously widespread over the world. The goal is to seamlessly merge physical and virtual worlds by superimposing computer generated graphics onto real surfaces. In projection mapping applications, target surfaces are generally not suitable for projection. They are textured and non-planar and conventional projectors are specifically designed to display high quality images onto uniformly white and flat surfaces only. Although researchers developed various algorithms to alleviate image quality degradations, the performances were limited by upper bounds resulting from the hardware. I briefly overview the recent advances in the projection mapping research field, particularly focuses on the computational imaging and display approach to overcome technical limitations of current projection hardware in terms of dynamic range, refresh rate, and depth-of-field. I also covers an emerging issue in the projection mapping research, which is dynamic projection mapping. This article is written by reorganizing a previously published state-of-the-art report paper by the same author [13] for an invited talk at the IAPR Computational Color Imaging Workshop (CCIW) 2019.