计算机工程2012，Vol.38Issue(6)：178-180,3.DOI:10.3969/j.issn.1000-3428.2012.06.058
结合CSS与傅里叶描述子的手势特征提取
Gesture Feature Extraction Combining CSS with Fourier Descriptor
摘要
Abstract
Aiming at the problem that the common static gesture features which are used in vision based recognition often only focus on gestures in a single aspect, and lack of effective gesture description for combination of wholeness and local part, this paper proposes an approach which extracts Fourier descriptor as a kind of global feature, and CSS shape descriptor as a kind of local feature, and then combines them into the final feature. Experimental results verify the effectiveness of this new feature on static gesture recognition by its high correct rate 98.3%, compared with traditional approaches.关键词
基于视觉/静态手势特征/CSS形状描述子/傅里叶描述子/局部特征/全局特征Key words
vision based/ static gesture feature/ CSS shape descriptor/ Fourier descriptor/ local feature/ global feature分类
信息技术与安全科学引用本文复制引用
李丹娇,彭进业,冯晓毅,王珺..结合CSS与傅里叶描述子的手势特征提取[J].计算机工程,2012,38(6):178-180,3.基金项目
国家自然科学基金资助项目(60875016,61075014) （60875016,61075014）
教育部博士点基金资助项目(20096102110025) （20096102110025）
