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Joint Sphere based 3D Animation Motion Authoring for Joint Units
Jieun Lee, Taehwan Kwon, Youngho Chai
http://doi.org/10.5626/JOK.2021.48.4.453
Research that creates natural human movement in the motion work of 3D animation is progressing in various fields with the development of technology. For more natural and realistic animation, numerous animators have worked directly on the Key-frame or received motion capture to author the motion. However, since the process of making several keys per second or measuring the motion with a sensor is an inefficient process despite simple motion authoring and modification, it is necessary to solve the problems for simple motion modification. In this study, we have analyzed the existing motion authoring method, Key-frame animation, and motion capture. Also, we propose a new motion authoring method that complements the disadvantages of the existing method. The human movement is recorded through the joint - sphere attached to each joint of 3D character and the recorded pattern and motion are revised. As the motion is modified through trajectory modification, the rotation angle and joints of each part of the model do not need to be adjusted one by one. Apparently, there is an increase in convenience along with the reduction in the working time compared to the existing motion authoring system.
Partial Movement Authoring for a Reconfigurable Motion Capture
Seonghun Kim, Yangkyu Lim, Youngho Kim, Youngho Chai
http://doi.org/10.5626/JOK.2019.46.10.989
Research on human motion perception has progressed along with the development of technology. The demand for the gesture recognition is increasing daily. In motion capture, data on each part of the body are acquired by using a sensor or camera in order to realize a natural movement as an actual motion. However, it is inefficient to use the sensor every time motion data must be obtained or to make repeat measures because of slight differences in motion. In addition, various problems must be solved in order to transfer the stored data to another person or modify it use for another action.
In this paper, we studied the trends of motion recognition research and analyzed characteristics of the motion reproduction method using keyframe animation and the Labanotation motion recording method. In addition, we proposed an action authoring method which addresses the disadvantages of the existing methods. By visualizing and recording the pattern of partial motions in the units of the images, it is possible to reconstruct other motions, including the meaning of the motion.
Expansion of Real-time Locomotion Controller using an Inverted-Pendulum-based Abstract Model
http://doi.org/10.5626/JOK.2019.46.7.606
A hybrid method that integrates both motion capture based method and physics-based method allows natural walking motion. The hybrid method has the advantage of generating diverse walking motions from limited data. However, limited by recorded data, one of the disadvantage associated with hybrid method is that, only the walking style similar to capture motion could be performed. This disadvantage prevents the character from following a specific user-specified path. In a bid to overcome this problem we propose a method that generates a new walking motion by modifying the recorded data. In the learning step, some variables related to a walking style is obtained by analyzing the captured walking and running data. In the synthesis step, we generated a new walking style such as sidesteps or backward walks by modifying those variables. The proposed algorithm can generate a specific path-following motion which cannot be generated using existing approaches.
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