A Study on an Inductive Motion Edit Methodology using a Uniform Posture Map 


Vol. 28,  No. 2, pp. 162-171, Feb.  2003


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  Abstract

It is difficult to reuse the captured motion data, because the data has a difficulty in editing it. In this paper, a uniform posture map (UPM) algorithm, one of unsupervised learning neural network, is proposed to edit the captured motion data. Because it needs much less computational cost than other motion editing algorithms, it is adequate to apply in real-time applications. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. Above of all, it complements the weakness of the existing algorithm where the calculation quantity increases in proportion to increase the number of restricted condition to solve the problems of high order articulated body. In this paper, it is shown two applications as a visible the application instance of UPM algorithm. One is a motion transition editing system, the other is a inductive inverse kinematics system. This method could be applied to produce 3D character animation based on key frame method, 3D game, and virtual reality, etc.

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  Cite this article

[IEEE Style]

B. Lee and C. Chung, "A Study on an Inductive Motion Edit Methodology using a Uniform Posture Map," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 2, pp. 162-171, 2003. DOI: .

[ACM Style]

Bum-Ro Lee and Chin-Hyun Chung. 2003. A Study on an Inductive Motion Edit Methodology using a Uniform Posture Map. The Journal of Korean Institute of Communications and Information Sciences, 28, 2, (2003), 162-171. DOI: .

[KICS Style]

Bum-Ro Lee and Chin-Hyun Chung, "A Study on an Inductive Motion Edit Methodology using a Uniform Posture Map," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 2, pp. 162-171, 2. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880