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Luo, Linbo; Zhou, Suiping; Cai, Wentong; Low, Malcolm Yoke Hean; Tian, Feng; Wang, Yongwei; Xian, Xiao; Chen, Dan

doi:10.1002/cav.v19:3/4

Cited by 55 publications

(2 citation statements)

References 548 publications

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“…Facial motion style is a novel research field in the computer facial animation area, where usually the goal is to learn the motion style of an actor and either synthesize novel motions or transform existing motions as if they were performed by the original actor. However, most of the work in the literature addresses body motion [1], [4]- [6] instead of the facial motion style [7], [8]. Ma et al [7] introduced a Constraint-based Gaussian Process model (CGP) that can effectively learn the editing style from a small set of facial editing pairs, which can be applied to automate the editing of the remaining facial animation frames or transfer editing styles between different animation sequences, being able to reduce the manual efforts necessary in most of current facial animation editing practices, e.g., sculpting a facial keyframe every several frames.…”

Section: Related Workmentioning

confidence: 99%

Investigating Emotion Style in Human Faces and Avatars

Melgare

Musse

Schneider

et al. 2019

2019 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)

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This paper describes a computational study regarding the way real humans manifest their facial expressions and emotions and how other people perceive that when applied to virtual humans. We propose a new metric for measuring individuals' emotion style where subjects were recorded while expressing the six basic emotions (happiness, fear, disgust, anger, surprise and sadness). With this metric, we were able to group the subjects into four different clusters and provide evidence that shows a visual correlation between the groups and the video footage. After applying the styles in virtual humans, a survey was also applied to lay people in order to understand how emotion style is perceived and identified by the general public. The survey not only indicated that people are in fact able to perceive an individual's emotion style regardless of facial geometry, but also showed that there seems to be a particular style that is considered more sympathetic and approachable when compared to others.

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Section: Related Workmentioning

confidence: 99%

Investigating Emotion Style in Human Faces and Avatars

Melgare

Musse

Schneider

et al. 2019

2019 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)

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“…Yu et al [7] used a template based method to model the cartoon water effects including flowing water, ripples and water jet. Later on they [8] extended their work to handle the interaction between objects and cartoon water by introducing a grid based controlling mechanism.…”

Section: Introductionmentioning

confidence: 99%

Procedural modeling of water caustics and foamy water for cartoon animation

Liao

Long

2011

J. Zhejiang Univ. - Sci. C

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We propose a method for procedural modeling and animation of cartoon water effects such as water caustics and foamy water. In our method we emulate the visual abstraction of these cartoon effects by the use of Voronoi diagrams and the motion abstraction by designing relevant controlling mechanisms corresponding to each effect. Our system enables the creation of cartoon effects with minimal intervention from the animator. Through high-level initial specification, the effects are animated procedurally in the style of hand-drawn cartoons.

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