人脸识别置信测度的比较

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI:10.1109/AFGR.2000.840644

S. Eickeler, Mirco Jabs, G. Rigoll

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引用次数: 22

摘要

本文比较了统计人脸识别系统结果的不同置信度度量。置信度的主要应用是拒绝未知的人和识别错误的检测。一些置信度度量基于后验概率，一些基于识别结果的排序。后验概率的计算采用贝叶斯规则，用不同的方法逼近无条件似然。基于排序的置信度度量是一种新的度量方法。在基于伪二维隐马尔可夫模型的人脸识别系统和Bochum人脸数据库上进行了置信度评价实验。

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Comparison of confidence measures for face recognition

This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown people and the detection of recognition errors. Some of the confidence measures are based on the posterior probability and some on the ranking of the recognition results. The posterior probability is calculated by applying Bayes' rule with different ways to approximate the unconditional likelihood. The confidence measure based on the ranking is a new method. Experiments to evaluate the confidence measures are carried out on a pseudo 2D hidden Markov model-based face recognition system and the Bochum face database.

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Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)

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