福州大学学报（自然科学版）Issue(4)：456-459,4.DOI:10.7631/issn.1000-2243.2015.04.0456
基于KPCA降维的运动捕捉数据自动分割
Automatic segmentation of motion capture data based on KPCA
摘要
Abstract
Motion capture data usually in high dimensions, which needs large amount of computation in motion clip segmentation.The accuracy of manual method is relatively high, but low efficient.In this paper, author carry out an automatic segmentate method by using Algorithm KPCA and PPCA to mapping 56 dimensional data into 2 dimensional Coordinate system,and constructing the feature func-tion of projection error derivative to quantify geometric variables of data, and figure out the segmentate point.关键词
运动捕捉数据/降维/自动分割/泉州拍胸舞Key words
motion caputure data/automatic segmentation/dimensionality reduction/Quanzhou chest-clapping dance分类
信息技术与安全科学引用本文复制引用
陈思喜,李建微,陈纾..基于KPCA降维的运动捕捉数据自动分割[J].福州大学学报（自然科学版）,2015,(4):456-459,4.基金项目
国家自然科学基金资助项目（31100415）；福建省教育厅科技资助项目 （）
