Table-top computed lighting for practical digital photography

Ankit Mohan, J. Tumblin, Bobby Bodenheimer, C. Grimm, Reynold J. Bailey
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Abstract

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 place the object and a computer-steered moving-head spotlight inside a simple foam-core enclosure, and use a camera to quickly record low-resolution photos as the light scans the box interior. Optimization guided by interactive user sketching selects a small set of frames whose weighted sum best matches the target image. The system then repeats the lighting used in each of these frames, and constructs a high resolution result from re-photographed basis images. Unlike previous image-based relighting efforts, our method requires only one light source, yet can achieve high resolution light positioning to avoid multiple sharp shadows. A reduced version uses only a hand-held light, and may be suitable for battery-powered, field photography equipment that fits in a backpack.
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桌面计算照明实用数码摄影
我们采用简化的基于图像的照明方法,以减少设备、成本、时间和专业技能,为桌面大小的静态物体(如博物馆文物)提供高质量的摄影照明。我们把物体和一个电脑控制的移动头部聚光灯放在一个简单的泡沫核心外壳里,当光线扫描盒子内部时,用相机快速记录低分辨率的照片。在交互式用户素描的指导下,优化选择一组加权和与目标图像最匹配的小帧。然后,系统重复这些帧中使用的照明,并从重新拍摄的基础图像构建高分辨率的结果。与以前基于图像的重照明不同,我们的方法只需要一个光源,但可以实现高分辨率的光定位,以避免多个尖锐的阴影。一个简化版只使用手持灯,可能适合电池供电,适合背包的野外摄影设备。
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