Title: Human Skeletal and Muscle Deformation Animation Using Motion Capture Data
Authors: Bayer, Ali Orkan
Sevinç, Ayça Müge
Can, Tolga
Citation: WSCG '2008: Full Papers: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, University of West Bohemia Plzen, Czech Republic, February 4 - 7, 2008, p. 167-174.
Issue Date: 2008
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://wscg.zcu.cz/wscg2008/Papers_2008/full/!_WSCG2008_Full_final.zip
http://hdl.handle.net/11025/10934
ISBN: 978-80-86943-15-2
Keywords: animace postav;snímání pohybu;počítačové modelování;anatomie;lidské svalstvo
Keywords in different language: character animation;motion capture;computer modelling;anatomy;human musculature
Abstract: Human character animation has problems of unrealistic motion and unrealistic skin deformation. In this study, we present an application of motion capture data for generating realistic human character animation using anatomically correct skeleton and muscle models. For this purpose, we attach a skeleton model to the motion data and then construct and attach a set of muscle models to the underlying skeleton. Deformation under isotonic contractions are modeled using a number of geometric primitives. As a result, we have implemented a toolkit where animations can be viewed and recorded as a video file. In order to demonstrate the use of the toolkit, we have produced a number of short movies for entertainment purposes. The generated muscle deformations are realistic. As future work, we plan to apply skin to our model and generate realistic looking skin deformations.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2008: Full Papers

Files in This Item:
File Description SizeFormat 
Bayer.pdfPlný text832,72 kBAdobe PDFView/Open
prezentace_Bayer.pdfPlný text12,16 MBAdobe PDFView/Open


Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10934

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.