计算机工程与应用2018，Vol.54Issue(6)：14-18,61,6.DOI:10.3778/j.issn.1002-8331.1712-0243
基于关键区域的二值化场景特征快速提取方法
Key region identification with binary feature extraction for high accurate scene matching
摘要
Abstract
As one of the most important component in advanced driver assistance systems,the visual-based localization techniques have been widely studied in recent years.Dealing with the problems of high accurate scene matching caused by the extremely similar scene appearances in the high frame rate reference sequence,a new and powerful method of key region and binary feature extraction is proposed in this paper.The key regions with discriminative information are extracted from the similar reference frames.The binary patterns of these key regions are generated to reduce the computational com-plexity of online scene matching procedure.The proposed method is evaluated on the Hong Kong light railway dataset and Nordland dataset.With the proposed key regions,the error and the computation time of scene matching are reduced by 31.43% and 94.22%.The precision rate of scene tracking with proposed method is 9.84% higher than that of SeqSLAM. The experimental results show that the proposed method has high performance.关键词
快速场景匹配/关键区域提取/二值化特征提取Key words
fast scene matching/key region extraction/binary feature extraction分类
信息技术与安全科学引用本文复制引用
姚萌,贾克斌,萧允治..基于关键区域的二值化场景特征快速提取方法[J].计算机工程与应用,2018,54(6):14-18,61,6.基金项目
国家自然科学基金面上项目(No.61672064) （No.61672064）
北京市自然科学基金重点项目(No.KZ201610005007). （No.KZ201610005007）
