FACE RECOGNITION - FEATURES VERSUS TEMPLATES
FACE RECOGNITION - FEATURES VERSUS TEMPLATES
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DOI：
10.1109/34.254061
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发表时间：
1993-10-01
影响因子：
23.6
通讯作者：
POGGIO, T
中科院分区：
文献类型：
--
作者：
BRUNELLI, R;POGGIO, T
在过去的 20 年里，人们提出了几种不同的计算机识别人脸技术。本文的目的是在通用数据库（47 个人脸的正面图像：26 名男性和 21 名女性，每人四张图像）上比较两种简单但通用的策略。我们开发并实现了两种新算法；第一个基于一组几何特征的计算，例如鼻子宽度和长度、嘴巴位置和下巴形状，第二个基于几乎灰度级模板匹配。在测试集上获得的结果（使用几何特征的正确识别率约为 90％，使用模板匹配的完美识别）有利于我们实施模板匹配方法。
Over the last 20 years, several different techniques have been proposed for computer recognition of human faces. The purpose of this paper is to compare two simple but general strategies on a common database (frontal images of faces of 47 people: 26 males and 21 females, four images per person). We have developed and implemented two new algorithms; the first one is based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second one is based on almost-grey-level template matching. The results obtained on the testing sets (about 90% correct recognition using geometrical features and perfect recognition using template matching) favor our implementation of the template-matching approach.