论文标题
面部分割：可见图像和热图像之间的比较
Face segmentation: A comparison between visible and thermal images
论文作者
论文摘要
面部分割是面部生物识别系统的第一步。在本文中，我们提出了一种用于热力计图像的面部分割算法。将该算法与用于可见图像的经典中提琴和琼斯算法进行了比较。实验结果表明，当分割多光谱（可见和热的面部）数据库时，所提出的算法的速度要快10倍以上，而热图像中面部分割的准确性比Viola-Jones的情况更高
Face segmentation is a first step for face biometric systems. In this paper we present a face segmentation algorithm for thermographic images. This algorithm is compared with the classic Viola and Jones algorithm used for visible images. Experimental results reveal that, when segmenting a multispectral (visible and thermal) face database, the proposed algorithm is more than 10 times faster, while the accuracy of face segmentation in thermal images is higher than in case of Viola-Jones
