Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data

Łukasz Janik; Karol Jedrasiak; Konrad Wojciechowski; Andrzej Polański

doi:10.1007/978-3-642-33564-8_12

Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data

Łukasz Janik
, Karol Jedrasiak
, Konrad Wojciechowski
, Andrzej Polański

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

Silesian University of Technology
Polish-Japanese Academy of Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings
Publisher	Springer Verlag
Pages	95-104
Number of pages	10
ISBN (Print)	9783642335631
DOIs	https://doi.org/10.1007/978-3-642-33564-8_12
Publication status	Published - 2012
Event	International Conference on Computer Vision and Graphics, ICCVG 2012 - Warsaw, Poland Duration: 24 Sept 2012 → 26 Sept 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7594 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computer Vision and Graphics, ICCVG 2012
Country/Territory	Poland
City	Warsaw
Period	24/09/12 → 26/09/12

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33564-8_12

Cite this

Janik, Ł., Jedrasiak, K., Wojciechowski, K., & Polański, A. (2012). Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data. In Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings (pp. 95-104). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7594 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33564-8_12

Janik, Łukasz ; Jedrasiak, Karol ; Wojciechowski, Konrad et al. / Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data. Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings. Springer Verlag, 2012. pp. 95-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d040e0c820654260b773eceb058fe541,

title = "Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data",

abstract = "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.",

author = "{\L}ukasz Janik and Karol Jedrasiak and Konrad Wojciechowski and Andrzej Pola{\'n}ski",

year = "2012",

doi = "10.1007/978-3-642-33564-8\_12",

language = "English",

isbn = "9783642335631",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "95--104",

booktitle = "Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings",

address = "Germany",

note = "International Conference on Computer Vision and Graphics, ICCVG 2012 ; Conference date: 24-09-2012 Through 26-09-2012",

}

Janik, Ł, Jedrasiak, K, Wojciechowski, K & Polański, A 2012, Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data. in Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7594 LNCS, Springer Verlag, pp. 95-104, International Conference on Computer Vision and Graphics, ICCVG 2012, Warsaw, Poland, 24/09/12. https://doi.org/10.1007/978-3-642-33564-8_12

Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data. / Janik, Łukasz; Jedrasiak, Karol; Wojciechowski, Konrad et al.
Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings. Springer Verlag, 2012. p. 95-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7594 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data

AU - Janik, Łukasz

AU - Jedrasiak, Karol

AU - Wojciechowski, Konrad

AU - Polański, Andrzej

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84868027388

U2 - 10.1007/978-3-642-33564-8_12

DO - 10.1007/978-3-642-33564-8_12

M3 - Conference contribution

AN - SCOPUS:84868027388

SN - 9783642335631

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 95

EP - 104

BT - Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings

PB - Springer Verlag

T2 - International Conference on Computer Vision and Graphics, ICCVG 2012

Y2 - 24 September 2012 through 26 September 2012

ER -

Janik Ł, Jedrasiak K, Wojciechowski K, Polański A. Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data. In Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings. Springer Verlag. 2012. p. 95-104. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33564-8_12

Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this