著者

佐藤 浩司 青木 工太 長橋 宏

出版者

一般社団法人映像情報メディア学会

雑誌

映像情報メディア学会誌 : 映像情報メディア (ISSN:13426907)

巻号頁・発行日

vol.62, no.8, pp.1330-1332, 2008-08-01

被引用文献数

1

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Motion capture data is widely used to easily reproduce natural-looking human motions. However, it is very difficult to search a huge motion database for any particular human motion. A variety of motion retrieval techniques that enable users to find accurately corresponding motions have been proposed. We developed a construction and retrieval technique for the human motion database that considers the overall features of motion by using a dimension reduction technique and a machine learning algorithm. This technique enables efficient retrieval of a set of motions similar to the query. It is also possible to apply our technique to motion synthesis by creating a hierarchical motion graph based on the human motion database.