Computational Imaging and Illumination for 3D Acquisition: Research at the NU Comp Photo Lab

Опубликовано 27 июня 2016, 21:54

Computational imaging and illumination plays a central role in many modern three-dimensional imaging techniques. In this talk, I will provide an overview of several 3D imaging technologies pioneered by the NU Comp Photo Lab, highlighting 3 main research projects. First, I will introduce a novel structured light technique called Motion Contrast 3D scanning (MC3D) that maximizes bandwidth and light source power to avoid performance trade-offs in structured light 3D acquisition. The technique allows 3D laser scanning resolution with single-shot speed, even in the presence of strong ambient illumination, significant inter-reflections, and highly reflective surfaces. Next, I will present research on Incoherent Holography, which enables 3D digital refocusing by engineering the camera's Point Spread Function (PSF). The technique can be used to capture a hologram without illuminating the scene with a coherent laser, making it possible to acquire holograms even for passively illuminated scenes. Finally, I will introduce our work using photometric stereo to measure the surface shape of several of Paul Gauguin's prints and drawings housed at the Art Institute of Chicago. In this work we characterize surface topology to better understand the artists production methods, helping to resolve longstanding art historical questions about the evolution of Gauguin's printing techniques.