Mohan Ankit, Bailey Reynold, Waite Jonathan, Tumblin Jack, Grimm Cindy, Bodenheimer Bobby
Department of Electrical Engineering and Computer Science, Northwestern University, 3.320 Ford Design Center, Evanston, Illinois 60208, USA.
IEEE Trans Vis Comput Graph. 2007 Jul-Aug;13(4):652-62. doi: 10.1109/TVCG.2007.1008.
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 record photos as the light scans the box interior. Optimization, guided by interactive user sketching, selects a small set of these photos whose weighted sum best matches the user-defined target sketch. Unlike previous image-based relighting efforts, our method requires only a single area light source, yet it can achieve high-resolution light positioning to avoid multiple sharp shadows. A reduced version uses only a handheld light and may be suitable for battery-powered field photography equipment that fits into a backpack.
我们应用基于图像的简化照明方法,以减少对诸如博物馆文物等桌面大小的静态物体进行高质量摄影照明所需的设备、成本、时间和专业技能。我们将物体和一个由计算机控制的摇头聚光灯放置在一个简单的泡沫芯外壳内,并在光线扫描盒子内部时使用相机记录照片。在交互式用户草图的引导下进行优化,选择一小部分这些照片,其加权和最匹配用户定义的目标草图。与以前基于图像的重新照明方法不同,我们的方法只需要一个区域光源,但它可以实现高分辨率的光定位,以避免多个明显的阴影。简化版本仅使用手持光源,可能适用于可装入背包的电池供电的野外摄影设备。