Data-intensive image based relighting
Biswarup Choudhury, Sharat Chandran · 2007
Image based Relighting(IBRL) has attracted a lot of interest in the computer graphics research, gaming, and virtual cinematography communities for its ability to relight objects or scenes, from novel illuminations captured in natural or synthetic environments. However, the advantages of an image-based framework conflicts with a drastic increase in the storage caused by the huge number of reference images pre-captured under various illumination conditions. To perform fast relighting, while maintaining the visual fidelity, one needs to preprocess this huge data into an appropriate model.