Shade analysis on facial images for robotic lighting

Hisaya Okada, Shigeru Kuriyama
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Abstract

Impression of a facial image is deeply depends on the shades and shadows cast on a face, and smart lighting control is therefore a key technology for obtaining its appealing appearance. The optimal control of lighting is usually done by a skillful photographer or lighting technician in a commercial studio, but the effect of such skillful lighting can be extracted from the features of shading pattern on professional images. The target of our research is to develop a robotized LED lighting system for automatically controlling its positions and orientations to supply expected optical effects. This article focuses on a method of estimating the lighting condition from a sample image, by which a similar shading style is obtained for the facial image taken under our robotic lighting.
机器人照明面部图像的阴影分析
面部图像的印象很大程度上取决于面部的阴影和阴影,因此智能照明控制是获得其吸引人外观的关键技术。灯光的最佳控制通常是由一个熟练的摄影师或照明技术人员在商业工作室完成的,但这种熟练的照明效果可以从专业图像的阴影图案特征中提取出来。我们的研究目标是开发一种自动化的LED照明系统,自动控制其位置和方向,以提供预期的光学效果。本文重点研究了一种从样本图像中估计光照条件的方法,通过该方法可以获得在机器人光照下拍摄的面部图像的类似阴影样式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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