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Know the face: New software aims to boost the accuracy of automated facial recognition systems

机译:认识面部:新软件旨在提高自动面部识别系统的准确性

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Big brother may be watching you but it doesn't mean he recognises you, which is why researchers at University College London (UCL) are developing new automated facial recognition software. It will be able to identity faces regardless of variation in position, pose, expression, and illumination. Current facial recognition software needs full frontal images to function properly. This usually requires the co-operation of the user, which works for access control to a building but is unsuitable for cameras acquiring images in uncontrolled conditions, such as with CCTV. The new system will use a Bayesian probability model to allow the recognition of images taken in such conditions. 'The most current commercial methods use high-resolution images to inspect little facial features,' said Dr Simon Prince, principal investigator, of UCL. 'Our technology can't work miracles but it can work with lower-resolution images. If, as a human, you think the image is useful, the computer should be able to do something with it.
机译:老大哥可能正在看着你,但这并不意味着他会认出你,这就是伦敦大学学院(UCL)研究人员正在开发新的自动面部识别软件的原因。无论位置,姿势,表情和照明如何变化,它都将能够识别人脸。当前的面部识别软件需要完整的正面图像才能正常运行。这通常需要用户的合作,这需要对建筑物进行访问控制,但不适用于摄像机在不受控制的条件下(例如CCTV)采集图像。新系统将使用贝叶斯概率模型来识别在这种情况下拍摄的图像。 UCL首席研究员西蒙·普林斯(Simon Prince)表示:“最新的商业方法使用高分辨率图像来检查小小的面部特征。” ``我们的技术无法创造奇迹,但可以与较低分辨率的图像一起使用。如果作为人类,您认为图像很有用,则计算机应该可以对图像进行处理。

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