Sulistyono, Arif and Atmani, A. K. Pritha and Gunanto, S. Gandang and Troy, Troy
(2017)
Toward ti exaggeration engine for facial animation: evaluating the diference of RBF implementation in expression-marker transfer.
In: Proceedings of 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS 2017), 08 November 207, Yogyakarta.
Full text not available from this repository.
Abstract
The human face has a unique shape and size, as well
as a 3D character face model. During this process of animated
facial expression of 3D virtual characters are mostly still done
manually by moving the rig in each frame. The more characters
used, the more production costs incurred. The absence of a cheap
facial motion transfer system is also one of the reasons why not
many studios are using motion capture technology in Indonesia.
This study will evaluate the implementation of radial basis
function (RBF) as a method of marker-transfer used as a reference
to rig movement in the facial animation system. Testing is done by
performing variations of radial function, namely: Gaussian,
Inverse Quadratic, Inverse Multiquadric, and Multiquadric. The
value of epsilon used is 0.01. The experimental results show that
the range of feature point shifts generated by RBF Gaussian,
Inverse Multiquadric, Inverse Quadratic, and Multiquadric have
the same pattern with the difference in the distance of the marker
rigging point shift on the target 3D model. The farthest range of
differences is generated by RBF Gaussian. The resulting
maximum range difference can reach 92.37% and a minimum of
2.47% compared to other methods. This appears on the Gaussian
chart to have a sharper pattern. As with the concept of
exaggeration, the Gaussian method which has the maximum range
is the right method to apply the exaggeration principle in 3D faceexpression
animation.
Actions (login required)
 |
View Item |
