Open AccessImplement of the transformation for markerless facial motion capture in 3D animation
Author(s) -
Gramandha Wega Intyanto,
D. A. F. Yuniarti,
Ari Setiyani Pawening
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1836/1/012033
Subject(s) - computer vision , computer science , artificial intelligence , motion capture , landmark , facial motion capture , face (sociological concept) , animation , motion (physics) , feature (linguistics) , computer animation , transformation (genetics) , process (computing) , face detection , computer facial animation , computer graphics (images) , facial recognition system , feature extraction , operating system , sociology , social science , linguistics , philosophy , biochemistry , chemistry , gene
Motion capture is a motion assisting technology that can resemble the motion of objects being captured and is now widely used for film development, especially in visual effects or animation. From that, the author has the idea, namely to use a Blender application to implement a markerless facial motion capture on motion of object 3D modeling based on webcam because it didn’t have a menu or feature for markerless motion capture. Markerless is meant to process the assignment of annotation points to objects with a computer system so that this method is very simple and saves time in its operation, especially in facial motion capture. In this research, the face detection method uses haar cascade and to provide facial landmark annotation using detector landmark lbf model. We are using an example of 3D modeling a human face that has a bone on the neck, head, mouth, eyes, and eyebrows that will follow the movement of the human face. The combination of face landmark detection and rigging in 3D modeling a human face uses the transformation geometry method to produce real-time motion. From this research study, 3D animated face objects can follow motion on real face targets but there is still noise.