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Jitter Correction of the Face Motion Capture Data for 3D Animation
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 Title & Authors
Jitter Correction of the Face Motion Capture Data for 3D Animation
Lee, Junsang; Han, Soowhan; Lee, Imgeun;
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 Abstract
Along with the advance of digital technology, various methods are adopted for capturing the 3D animating data. Especially, in 3D animation production market, the motion capture system is widely used to make films, games, and animation contents. The technique quickly tracks the movements of the actor and translate the data to use as animating character's motion. Thus the animation characters are able to mimic the natural motion and gesture, even face expression. However, the conventional motion capture system needs tricky conditions, such as space, light, number of camera etc. Furthermore the data acquired from the motion capture system is frequently corrupted by noise, drift and surrounding environment. In this paper, we introduce the post production techniques to stabilizing the jitters of motion capture data from the low cost handy system based on Kinect.
 Keywords
Motion capture;Kinect system;MEL Script;3D Animation;Markerless;
 Language
Korean
 Cited by
 References
1.
Lee Man-Woo, Kim Hyun-Jong, Kim Soon-Gohn " A study about the problems and their solutions in the production process of 3D character animation using optical motion capture technology", ICCC2006, Vol.4 No.2, pp831-835, 2006

2.
Seuc-Ho Ryu, Tae-Yul Kim, Byung-Pyo Kyung, Byung-Pyo Kyung "A Study about a Production of A Game Character Animation Using a Combining with a Motion- capture System" The Korea Contents Society, Vol.5 No.5, pp115-123, 2005

3.
Junsang Lee, Imgeun Lee "A Study on Correcting Virtual Camera Tracking Data for Digital Compositing" Journal of the Korea society of computer and information, Vol.17 No.11, pp.39-46, 2012

4.
Youn-Ju Park, Young-Su Yuk, Seon-Ju Ahn, Chang-Suk Cho, "3D Facial Motion Capture System for a Graphic Animation" KMMS 1999, Vol.1 pp653-657, 1999

5.
Han Suk Choi, "Kinect-based Motion Recognition Model for the 3D Contents Control" The Korea Contents Society, Vol, 14, No.1, pp24-29, 2014

6.
Seuc-Ho Ryu, Park Yong-Hyun, Kyung Byung-Pyo, Lee Dong-Lyeor, Wan-Bok Lee "3D Game Character Animation Pipe-line to Improve Utilization of Motion Capture" The Korea Contents Society, Vol.8 No.7, pp120-127, 2008 crossref(new window)

7.
Ki-Young Shin, Joung H. Mun, "Multi-camera Calibration Method for Optical Motion Capture System" Journal of the Korea society of computer and information, Vol.14 No.6, pp.41-49, 2009

8.
Sang-Bin Park, Ki-Young Lee, "A Study on the Control System Using Research in gesture recognition using the Kinect camera" CEIC2012, Vol.2012 No.11, pp745-746, 2012

9.
Sunyoung Cho, Hyeran Byun, Hee Kyung Lee, Jihun Cha, "Arm Gesture Recognition for Shooting Games based on Kinect Sensor" Journal of KIISE, Vol.39 No.10, pp796-805, 2012

10.
Hye Jeong Yun, Kwang Il Kim, Jeong Hun Lee, Hae Yeoun Lee, "Development of Experience Dance Game using Kinect Motion Capture", journal of korea information processing society, Vol.3 No.1, pp43-56, 2014

11.
Chul Young Choi, Seungwoo Cho,Junesok David Lee, "Study of CG Character Animating Pipeline for Human IK and Kinect" The Korean Journal of animation, Vol.9 No.4, pp180-199, 2013