基于FAST检测器和SURF描述子的聚合图像人脸识别

Aggregated image face recognition based on FAST detector and SURF descriptor

本文提出了基于聚合图像的人脸识别方法。将多张人脸图像通叠加的方式形成一幅聚合图像,并将其作为训练图像进行特征检测和描述,最后与测试图像提取到的特征进行匹配。通过与其他人脸识别方法对比,实验结果表明,本文方法在识别率方面有明显的优势,即使使用单张人脸图像依旧能够获得较高的识别率;使用聚合图像时,随着聚合图像使用的人脸图像数量的增加,提取到的特征点的数量也不断增加,使测试图像在训练图像中匹配到更合适的特征点,提高其识别率。

A face recognition method based on aggregated image was proposed.In this paper,aggregated images were formed by stacking images with multiple face images.The aggregated images were used as the training images for feature detection and description.Finally,the features were matched with features extracted from the test images.Compared with other face recognition methods,the experiments indicate that this method has obvious advantages in the recognition rate.Even though the using a single face image is still able to get a higher recognition rate.Using aggregated images,the number of feature points is increased with the increase of the number of images used by the aggregated images.That enables the test images to match more appropriate feature points in the training images and increase the recognition rate.