Currently, face detection approaches focus on facial information by varying specific parameters including pose, occlusion, lighting, background, race, and gender. These studies only utilized the information obtained from low dynamic range images, however, face detection in wide dynamic range (WDR) scenes has received little attention. To our knowledge, there is no publicly available WDR database for face detection research. To facilitate and support future face detection research in the WDR field, we propose the first WDR database for face detection, called WDR FACE, which contains a total of 398 16-bit megapixel grayscale wide dynamic range images collected from 29 subjects. These WDR images (WDRIs) were taken in eight specific WDR scenes. The dynamic range of 90% images surpasses 60,000:1, and that of 70% images exceeds 65,000:1. Furthermore, we show the effect of different face detection procedures on the WDRIs in our database. This is done with 25 different tone mapping operators and five different face detectors. We provide preliminary experimental results of face detection on this unique WDR database.

翻译：目前,面对面的检测方法侧重于面部信息,其具体参数各不相同,包括姿势、隐蔽度、照明度、背景、种族和性别。这些研究仅利用了从低动态范围图像中获得的信息,然而,在广动态范围(WDR)的场景中,面部检测很少受到重视。据我们所知,没有可供公众查阅的WDR数据库。为了便利和支持未来在WDR字段中进行面部检测研究,我们提议建立第一个WDR数据库,称为WDR FACE,用于面部检测,该数据库共包含从29个主题中收集的398 16比特大像素灰色宽度图像。这些WDR图像(WDRIs)是在8个特定的WDR场景中拍摄的。90%的动态范围超过60 000:1,70%的图像超过65 000:1。此外,我们还在我们的数据库中展示了不同面部识别程序对WDRIs的影响。我们用25个不同的音调绘图操作员和5个不同的脸探测器做了这项工作。我们在这个独特的WDR数据库中提供了初步的面探测实验结果。