论文标题
一个新的面部数据库，同时在可见的，近红外和热频谱中获取
A new face database simultaneously acquired in visible, near infrared and thermal spectrum
论文作者
论文摘要
在本文中，我们介绍了一个在不同的照明条件下获得三个不同传感器（可见的，近红外和热的）的新数据库。该数据库由四个不同的收购会话中获得的41人组成，每个会话五个图像和三个不同的照明条件。图片的总量为7.380图片。实验结果是通过单个传感器实验以及在不同照明条件（自然，红外和人工照明）下的两个和三个传感器的组合获得的。我们发现，所研究的三个光谱带与组合系统的比例几乎相等。实验结果表明，即使使用简单的分类器和特征提取器，也将三个频谱的重大改进结合在一起。在研究的九个方案中的六个中，我们在使用训练有素的组合规则时获得了更高或等于98％的识别率，使用固定规则时获得了九种情况。
In this paper we present a new database acquired with three different sensors (visible, near infrared and thermal) under different illumination conditions. This database consists of 41 people acquired in four different acquisition sessions, five images per session and three different illumination conditions. The total amount of pictures is 7.380 pictures. Experimental results are obtained through single sensor experiments as well as the combination of two and three sensors under different illumination conditions (natural, infrared and artificial illumination). We have found that the three spectral bands studied contribute in a nearly equal proportion to a combined system. Experimental results show a significant improvement combining the three spectrums, even when using a simple classifier and feature extractor. In six of the nine scenarios studied we obtained identification rates higher or equal to 98%, when using a trained combination rule, and two cases of nine when using a fixed rule.
