@inproceedings{e699ec064aee424c85022ada65831e59,
title = "Motion normalization",
abstract = "This paper presents a very simple but efficient algorithm to normalize all motion data in database with same skeleton length. 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.",
author = "Yan Gao and Lizhuang Ma and Zhihua Chen and Xiaomao Wu",
year = "2005",
doi = "10.1007/11573548\_13",
language = "英语",
isbn = "3540296212",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "95--101",
booktitle = "Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings",
address = "德国",
note = "1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005 ; Conference date: 22-10-2005 Through 24-10-2005",
}