CASIA OpenIR  > 数字内容技术与服务研究中心  > 听觉模型与认知计算
一种基于三维深度图像信息的并行统计学习人体部位检测方法
黄向生; 徐波
2011-12-22
Date Available2012-07-25
CountryCN
Subtype发明
Abstract本发明公开了一种基于三维深度图像信息的并行统计学习人体部位检测方法。针对人体部位(头、手、脚)复杂形变、难以描述等问题,构造了体现人体部位多样性的新型特征-万向特征,利用并行统计学习方法,选择有效的、数量充分的新型特征,组成并行级联的分类器,从而对人体部位进行实时高效的检测。
Patent NumberCN201110435745.7
Status授权
Document Type专利
Identifierhttp://ir.ia.ac.cn/handle/173211/8658
Collection数字内容技术与服务研究中心_听觉模型与认知计算
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
黄向生,徐波. 一种基于三维深度图像信息的并行统计学习人体部位检测方法. CN201110435745.7[P]. 2011-12-22.
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