An iOS image processor for fringe pattern analysis

Abstract

Many fields in science and engineering use fringe patterns for various purposes. One particular application is in the fringe projection system (FPS) for surface profilometry. A reference FPS consisted of a LCD projector, a laptop and a standalone camera to scan objects against a black, non- reflective screen. It was limited to an enclosed room because readings would be affected by excess ambient light. Thus, this project aimed to overcome these restrictions, in hopes of creating a fully mobile FPS. An iOS application was developed for an iPad, incorporating necessary algorithms to achieve a similar 3D model. The iPad was benchmarked against the reference Macbook Air, and was more cost-effective, even though it took longer to complete the task. This was a good indication to realizing a completely mobile FPS. Future works could delve into creating a structured light emitter- sensor mountable on a mobile device.