Greta: A Simple Facial Animation Engine

Pasquariello, Stefano; Pélachaud, Catherine

doi:10.1007/978-1-4471-0123-9_43

Cited by 57 publications

(50 citation statements)

References 6 publications

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“…CrazyTalk 1 is an animation studio that provides the facility to create 3-D talking characters from photos, images or illustrations, and provides automatic lip-sync animation from audio and typed text. Other computer animated talking heads and conversational agents used in the research community include Greta (Pasquariello & Pelachaud, 2001), Baldi (Massaro, 2003), MikeTalk (Ezzat & Poggio, 1998), and Video Rewrite (Bregler et al, 1997), among others. The face animation technique used in this work is MPEG-4 compliant, which uses a very simple thin-plane spline warping function defined by a set of reference points on the target image, driven by a set of corresponding points on the source image face.…”

Section: Wwwintechopencommentioning

confidence: 99%

Audio-Visual Biometrics and Forgery

Greige¹,

Karam²

2011

Advanced Biometric Technologies

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Section: Wwwintechopencommentioning

confidence: 99%

Audio-Visual Biometrics and Forgery

Greige¹,

Karam²

2011

Advanced Biometric Technologies

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“…Moreover, since the establishment of the MPEG-4 facial animation standard, several 3D synthetic virtual characters and ECAs have emerged to support the MPEG-4 standard. One of the most well known engines developed based on the MPEG-4 standard is the Greta ECA engine [4]. The design of Greta's face is supported by a 3D facial model compliant with MPEG-4 facial animation standard and it is capable of simulating, in a believable manner, the dynamic aspects of the human face.…”

Section: Related Workmentioning

confidence: 99%

“…To illustrate our proposed approach we use the Embodied Conversational Agent (ECA) Greta [4] to generate different expressive states of the agent.…”

mentioning

confidence: 99%

Expressive MPEG-4 Facial Animation Using Quadratic Deformation Models

Obaid

Mukundan

Billinghurst

et al. 2010

2010 Seventh International Conference on Computer Graphics, Imaging and Visualization

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Abstract-In this paper we propose an approach compliant with the MPEG-4 standard to synthesize and control facial expressions generated using 3D facial models. This is achieved by establishing the MPEG-4 facial animation standard conformity with the quadratic deformation model representations of facial expressions. This conformity allows us to utilize the MPEG-4 facial animation parameters (FAPs) with the quadratic deformation tables, as a higher layer, to compute the FAP values.The FAP values for an expression E are computed by performing a linear mapping between a set of transformed MPEG-4 FAP points (using quadratic deformation models) and the 3D facial model semantics. The nature of the quadratic deformation model representations of facial expressions can be employed to synthesize and control the six main expressions (smile, sad, fear, surprise, anger, and disgust). Using Whissel's psychological studies on emotions we compute an interpolation parameter that is used to synthesize intermediate facial expressions.The paper presents results of experimental studies performed using the Greta embodied conversational agent. The achieved results are promising and can lead to future research in synthesizing a wider range of facial expressions.

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“…This animation specification is performed by an animated human character in the Virtual Human Testbed [1], and the head of the character is controlled using the Greta facial animation software [16].…”

Section: The Design Of Our Asl Generation Systemmentioning

confidence: 99%

Evaluating American Sign Language generation through the participation of native ASL signers

Huenerfauth

Li-ming

et al. 2007

Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility

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We discuss important factors in the design of evaluation studies for systems that generate animations of American Sign Language (ASL) sentences. In particular, we outline how some cultural and linguistic characteristics of members of the American Deaf community must be taken into account so as to ensure the accuracy of evaluations involving these users. Finally, we describe our implementation and user-based evaluation (by native ASL signers) of a prototype ASL generator to produce sentences containing classifier predicates, frequent and complex spatial phenomena that previous ASL generators have not produced. {liming,erdan,allbeck}@seas.upenn.edu ABSTRACTWe discuss important factors in the design of evaluation studies for systems that generate animations of American Sign Language (ASL) sentences. In particular, we outline how some cultural and linguistic characteristics of members of the American Deaf community must be taken into account so as to ensure the accuracy of evaluations involving these users. Finally, we describe our implementation and user-based evaluation (by native ASL signers) of a prototype ASL generator to produce sentences containing classifier predicates, frequent and complex spatial phenomena that previous ASL generators have not produced.

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Greta: A Simple Facial Animation Engine

Cited by 57 publications

References 6 publications

Audio-Visual Biometrics and Forgery

Audio-Visual Biometrics and Forgery

Expressive MPEG-4 Facial Animation Using Quadratic Deformation Models

Evaluating American Sign Language generation through the participation of native ASL signers

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