@inproceedings{a47ef35520c94dbabaaca6a4ce24f166,
title = "Motion normalization: The preprocess of motion data",
abstract = "In this paper, we present an online algorithm to normalize all motion data in database with a common skeleton length. Our algorithm is very simple and efficient. The input motion stream is processed sequentially while the computation for a single frame at each step requires only the results from the previous step over a neighborhood of nearby backward frames. In contrast to previous motion retargeting approaches, we simplify the constraint condition of retargeting problem, which leads to the simpler solutions. Moreover, we improve Shin et al.'s algorithm [10], which is adopted by a widely used Kovar's footskate cleanup algorithm [6] through adding one case missed by it.",
keywords = "Motion Capture, Motion Normalization, Motion Retargeting",
author = "Yan Gao and Lizhuang Ma and Zhihua Chen and Xiaomao Wu",
year = "2005",
doi = "10.1145/1101616.1101667",
language = "英语",
isbn = "1595930981",
series = "Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST",
publisher = "Association for Computing Machinery (ACM)",
pages = "253--256",
booktitle = "VRST'05 - ACM Symposium on Virtual Reality Software and Technology 2005",
address = "美国",
note = "12th ACM Symposium on Virtual Reality Software and Technology, VRST 2005 ; Conference date: 07-11-2005 Through 09-11-2005",
}