• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.103-117
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• 2023

This study focuses on the behavioural lexical classification for extracting animation character actions and the analysis of the character's upper and lower body movements. The behaviour and state of characters in the animation industry are crucial, and digital technology is enhancing the industry's value. However, research on animation motion application technology and behavioural lexical classification is still lacking. Therefore, this study aims to classify the predicates enabling animation motion, differentiate the upper and lower body movements of characters, and apply the behavioural lexicon's motion data. The necessity of this research lies in the potential contributions of advanced character motion technology to various industrial fields, and the use of the behavioural lexicon to elucidate and repurpose character motion. The research method applies a grammatical, behavioural, and semantic predicate classification and behavioural motion analysis based on the character's upper and lower body movements.

• Cartoon and Animation Studies
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• s.37
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• pp.221-245
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• 2014

With the success of the world's first 3D computer animated film, "Toy Story" in 1995, industrial development of 3D computer animation gained considerable momentum. Consequently, various 3D animations for TV were produced; in addition, high quality 3D computer animation games became common. To save a large amount of 3D animation production time and cost, technological development has been conducted actively, in accordance with the expansion of industrial demand in this field. Further, compared with the traditional approach of producing animations through hand-drawings, the efficiency of producing 3D computer animations is infinitely greater. In this study, an experiment and a comparative analysis of markerless motion capture systems for facial expression animation has been conducted that aims to improve the efficiency of 3D computer animation production. Faceware system, which is a product of Image Metrics, provides sophisticated production tools despite the complexity of motion capture recognition and application process. Faceshift system, which is a product of same-named Faceshift, though relatively less sophisticated, provides applications for rapid real-time motion recognition. It is hoped that the results of the comparative analysis presented in this paper become baseline data for selecting the appropriate motion capture and key frame animation method for the most efficient production of facial expression animation in accordance with production time and cost, and the degree of sophistication and media in use, when creating animation.

• The Journal of the Korea Contents Association
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• v.7 no.8
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• pp.102-108
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• 2007

Among culture industry that greet digital generation and is observed 21th century the most representative game industry latest is caught what and more interest degree is rising. 2D and 3D animation accomplish continuous growth and development depending action expression along with development of computer technology, and 2D and 3D animation practical use extent are trend that is widening the area in TV, movie, GAME industry etc. through computer hardware and fast change of software technology. The trend of latest game graphic is trend that the weight is changing from 2D to 3D by 3D game and activation of 3D game character that raise player's immersion stuff and Control in 2D's simplicity manufacturing game balance for one side. This treatise that is reality of 3D game character to classify kind of (Motion Capture) and 3D character animation, form model the sense put. Recognize that is overview and reality of 3D game character first for this about example, and is considered to efficiency is high game industry and digital contents industry hereafter by proposing kind model classification of 3D game character animation, form model classification data and character animation manufacture process that application is possible at fast time and effect in 3D character animation application are big.

• Korean Journal of Applied Biomechanics
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• v.17 no.4
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• pp.37-44
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• 2007

This study compared the Character Studio of 3ds Max and OpenGL to find an adequate modeling method of character animation to be used in motion analysis in the area of motor mechanics. The subject was one male golfer. We obtained the positional coordinates of marks needed by photographing the subject's golf swing motions. Because the method based on the Character Studio used meticulously designed character meshes, it enabled high.level animation but it took a long time in applying physique and demanded the repeated adjustment of each motion data. With the method based on OpenGL, a character completed once could be usable to almost every testee and desired program control was available, but because each character had to be created by making a computer program, it was hard to make characters delicately. Because the method using the Character Studio is actively studied not only in motor mechanics but also in many research areas, it is expected to be more usable in the near future. On the contrary, the method based on OpenGL is easily applicable and allows the convenient use of other mechanical data.

• Journal of Internet Computing and Services
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• v.4 no.2
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• pp.31-37
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• 2003

Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.

• Journal of Internet Computing and Services
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• v.5 no.2
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• pp.41-47
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• 2004

Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.171-172
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• 2010

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.257-263
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• 2006

Nowadays, 3-D(Three-dimensions) is used in various field such as Games, Movies, Animations etc. Especially the Role of 3-D computer graphic is being generalized by turnover of Screen from '2-dimensional' to '3-dimensional'. There are not enough data about 'Motion Capture' even though it plays main function in 3-dimensional movement. 'Motion Capture' could be also unfamiliar for people. And as a matter of fact, the use of this equipment is limited due to its high cost. Therefore, I studied the outline of Digital Motion Capture system and its application to 3-D game Character Animation. And I checked the movement of 3-D Character after transplanting the Motion Data to the 3-D Character. I acquired Motion Data by Optical Motion Capture Equipment which we possess and transplanted it into the 3-D Character then Implemented it as walking, running and hitting which are the basic motions of Expression.

• Journal of Broadcast Engineering
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• v.25 no.3
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• pp.405-417
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• 2020

Due to the popularization of the Extended Reality, research is actively underway to implement human motion in real-time 3D animation. In particular, Microsoft developed Kinect cameras for 3D motion information can be obtained without the burden of facilities and with simple operation, real-time animation can be generated by combining with 3D formats such as FBX. Compared to the marker-based motion capture system, however, Kinect has low accuracy due to its lack of estimated performance of joint information. In this paper, two algorithms are proposed to correct joint estimation errors in order to realize natural human motion in motion capture animation system in Kinect camera-based FBX format. First, obtain the position information of a person with a Kinect and create a depth map to correct the wrong joint position value using the human body segment length constraint information, and estimate the new rotation value. Second, the pre-set joint motion range constraint is applied to the existing and estimated rotation value and implemented in FBX to eliminate abnormal behavior. From the experiment, we found improvements in human behavior and compared errors between algorithms to demonstrate the superiority of the system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.773-774
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• 2015

Motion capture tracks the movement of the actor and quickly transfers it as a motion data for animation purposes. The data from the motion capture can be easily controled and applied to animating characters to make realistic movement. But conventional motion capture system is very expensive and need spacious room for its own. Recently Kinect based motion capture is widely used for its simplicity and comparably low budget. However, the Kinect based motion capture data is often corrupted by jitter and unstable data. In this paper, we propose the novel post processing method to stabilize the unwanted jitter in the motion capture data.