Computational Photography - Relighting

Image-based lighting optimizations provide studio-quality photographs

Project Description

We apply onstrained optimization techniques to the problem of lighting real-world objects. Lighting has long been recognized as a difficult problem in the field of computer graphics. We apply simplified image-based lighting methods to reduce the equipment, cost, time, and specialized skills required for high-quality photographic lighting of desktop-sized static objects such as museum artifacts. We extend existing image-based lighting ideas to reduce the required equipment to a single light source and single camera; we replace trial-and-error light repositioning with optimization and on-screen painting; and we reduce the need for large amounts of high dynamic range photography, thus reducing the capture time. The result is a novel and inexpensive system that a novice can use to intuitively describe and obtain the desired lighting for a photograph.


Students and Collaborators

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Bobby Bodenheimer