%0 Journal Article
%T Data Fusion and Confidence in Image Feature Detection and Mahalanobis Distance
图像特征检测和马氏距离中的数据融合与置信度
%A Zhu Qiu-yu
%A Wang Shuo-zhong
%A
朱秋煜
%A 王朔中
%J 电子与信息学报
%D 2008
%I
%X Using a statistical approach, data fusion is performed in image feature detection with which information about the same feature obtained by multiple methods can be integrated. Validity of the described fusion scheme and properties of the fused data are discussed. A confidence measure is defined and applied to evaluate credibility of the results. Taking into account the data fusion and confidence measure, a Mahalanobis distance is derived. The technique is applied to face retrieval and its canthus detection. Experimental results show that the proposed approach can reduce adverse effects of feature detection errors and enhance the pattern recognition rate.
%K Feature detection
%K Data fusion
%K Confidence measure
%K Mahalanobis distance
特征检测
%K 数据融合
%K 置信度
%K 马氏距离
%K 图像特征检测
%K 马氏距离
%K 数据融合
%K 置信度
%K Distance
%K Feature
%K Detection
%K Image
%K Confidence
%K Fusion
%K 识别率
%K 影响
%K 检测参数
%K 错误
%K 类时
%K 模式分
%K 统计方法
%K 角检测
%K 检索
%K 人脸
%K 公式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=EBB4F71C7F68274032FBC5DA1C885A20&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=D45762219109E903&eid=E49BED2EA9A8956B&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9