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A Sketch-Based Interface for Facial Animation in Immersive Virtual Reality.

Authors :
Cannavò, Alberto
Stellini, Emanuele
Zhang, Congyi
Lamberti, Fabrizio
Source :
International Journal of Human-Computer Interaction. Jun2024, Vol. 40 Issue 12, p3234-3252. 19p.
Publication Year :
2024

Abstract

Creating facial animations using 3D computer graphics represents a very laborious and time-consuming task. Among the numberless approaches for animating faces, the use of blendshapes remains the most common solution because of their simplicity and the ability to produce high-quality results. This approach, however, is also characterized by important drawbacks. With the traditional animation suites, to select the blendshapes to be activated animators are generally requested to memorize the mapping between the blendshapes and the influenced mesh vertices; alternatively, they need to adopt a trial-and-error search within the whole library of available blendshapes. Moreover, the level of expressiveness that can be reached may be lower than expected; this is due to the fact that the possibility to apply transformations to vertices different than just linear translations and mechanisms for adding, e.g., exaggerations, are typically not integrated into the same animation environment. To tackle these issues, this article proposes an immersive virtual reality-based interface that leverages sketches for the direct manipulation of blendshapes. Animators can draw both linear and curved strokes, which are used to automatically extract information about the blendshape to be activated and its weight, the trajectories that associated vertices have to follow, as well as the timing of the overall animation. A user study was carried out with the aim of evaluating the proposed approach on several representative animations tasks. Both objective and subjective measurements were collected. Experimental results showed the benefits of the devised interface in terms of task completion time, animation accuracy, and usability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10447318
Volume :
40
Issue :
12
Database :
Academic Search Index
Journal :
International Journal of Human-Computer Interaction
Publication Type :
Academic Journal
Accession number :
178089228
Full Text :
https://doi.org/10.1080/10447318.2023.2185731