Scientists Develop Reliable Face Recognition System (1/2)

Experts say that automatic face recognition systems, in which a computer attempts to recognize an individual by checking his or her face against thousands of images stored in a database, are gaining in popularity, but are not very reliable.

There won't be a match if the person's face is not contained in the database, or a match may be overlooked if a picture that is in the database looks sufficiently different than the individual standing in front of the system's electronic eye.

Experts say that's because the stored photograph may be several years old and bear little resemblence to the individual, or the pose or light may be different.

Psychologist Rob Jenkins of the University of Glascow and his colleague Mike Burton believe they solved the problem.

They randomly gathered 20 images of 25 male celebrities on the internet and fed the photos into a face recognition system that had a database of 31-thousand photos of famous faces.

The recognition system accurately" class="hjdict" word="accurately" target=_blank>accurately identified the individuals about half of the time .

The researchers then created what they call an "average face" of each celebrity" class="hjdict" word="celebrity" target=_blank>celebrity by taking his images and averaging them out.

参考译文：

专家谈到人脸识别系统正在大受欢迎，但是它并不是很可靠的。该系统是指计算机试图通过与数据库中存储的数千张人脸与使用者进行比对而进行识别。

如果数据库中不存在这个人的面容就不会匹配上，或者，如果站在系统电眼前的人的（面部）与数据库中照片存在足够大的差异，也会被忽略掉，被系统认为是不匹配。

专家说因为储存于数据库中的图像可能是很多年前的，可能完全不像使用者，而且可能还和姿势以及灯光不同相关。

格拉斯哥大学的心理学家Rob Jenkins和他的同伴Mike Burton认为他们已经解决了问题。

他们随机收集了在网络中出名的25位男性的20张相片，并将照片传入与一个数据库中含有31，000张名人面容的人脸识别系统中。

半数时候，该识别系统可以准确的判断出每个个体。

研究者通过捕获每个名人的图片并进行平均，创建了他们称之为每个名人"平均脸法"的方法。

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