Open AccessEvaluasi Sintesis Ekspresi Wajah Realistik pada Sistem Animasi Wajah 3D dengan Teknologi Motion Capture
Author(s) -
Samuel Gandang Gunanto,
Arif Sulistiyono,
Agnes Karina Pritha Atmani,
Troy Troy
Publication year - 2018
Publication title -
rekam
Language(s) - English
Resource type - Journals
eISSN - 2442-9376
pISSN - 1858-3997
DOI - 10.24821/rekam.v14i2.1747
Subject(s) - motion capture , computer science , face (sociological concept) , artificial intelligence , computer animation , computer vision , animation , expression (computer science) , facial motion capture , point (geometry) , motion (physics) , computer graphics (images) , face detection , mathematics , pattern recognition (psychology) , facial recognition system , social science , geometry , sociology , programming language
The human face has a unique shape and size, as well as a 3D character face model. The facial animation of 3D virtual characters is mostly done manually by moving the rigging in each frame. The more characters used, the more production costs that must be incurred. The absence of a cheap facial motion transfers system is also one of the reasons why not many studios are using motion capture technology in Indonesia.This research will evaluate the implementation of a facial expression synthetically using motion capture technology built from radial basis function (RBF) as a method of marker transfer as a reference for rigging movement in point cluster system. Testing is done by approaching facial expressions according to FACS theory and questionnaire of synthesis results.The experimental results show that according to FACS theory the requirement of expression formation has been fulfilled by referring to changes in facial features, but the implementation is not always able to describe perfectly the desired condition, namely the average percentage of faces easily recognizable by 35.53%. Therefore, the influence of animators in the control of micro expression improvements or the addition of exaggeration principle elements in the manufacture of facial animation is very important to produce facial expressions that are easily recognized by the audience.