Application of a Hybrid Algorithm for Non-humanoid Skeleton Model Estimation from Motion Capture Data

被引：0
|
作者：
Janik, Lukasz [1 ]
Jedrasiak, Karol [2 ]
Wojciechowski, Konrad [1 ,3 ]
Polanski, Andrzej [1 ,3 ]
机构：
[1] Silesian Tech Univ, Inst Comp Sci, Akad 16, PL-44100 Gliwice, Poland
[2] Silesian Tech Univ, Inst Automat Control, PL-44100 Gliwice, Poland
[3] Polish Japanese Inst Informat Technol, PL-41902 Bytom, Poland
来源：
COMPUTER VISION AND GRAPHICS | 2012年 / 7594卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Currently, when Motion Capture being commonly used in gaming and movie industry there is a need of robust, easy and flexible solution to capture motion of non-humanoid characters in order to animate virtual characters in a game or movie. To fill this gap we developed an algorithm which estimates model of skeleton structure of both humanoid and non-humanoid characters. Quality and the possibility of real-life applications of the presented algorithm were experimentally evaluated. During the experiment we estimated the skeleton structure from the markers attached to a dog's skin. Quality of the resulting model is very promising.
引用
收藏
页码：95 / 104
页数：10
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