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Relevant bibliographies by topics / Facial animation

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Journal articles

Academic literature on the topic 'Facial animation'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 June 2025

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Journal articles on the topic "Facial animation"

1

Shakir, Samia, and Ali Al-Azza. "Facial Modelling and Animation: An Overview of The State-of-The Art." Iraqi Journal for Electrical and Electronic Engineering 18, no. 1 (2021): 28–37. http://dx.doi.org/10.37917/ijeee.18.1.4.

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Animating human face presents interesting challenges because of its familiarity as the face is the part utilized to recognize individuals. This paper reviewed the approaches used in facial modeling and animation and described their strengths and weaknesses. Realistic face animation of computer graphic models of human faces can be hard to achieve as a result of the many details that should be approximated in producing realistic facial expressions. Many methods have been researched to create more and more accurate animations that can efficiently represent human faces. We described the techniques that have been utilized to produce realistic facial animation. In this survey, we roughly categorized the facial modeling and animation approach into the following classes: blendshape or shape interpolation, parameterizations, facial action coding system-based approaches, moving pictures experts group-4 facial animation, physics-based muscle modeling, performance driven facial animation, visual speech animation.

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2

Sun, Shuo, and Chunbao Ge. "A New Method of 3D Facial Expression Animation." Journal of Applied Mathematics 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/706159.

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Animating expressive facial animation is a very challenging topic within the graphics community. In this paper, we introduce a novel ERI (expression ratio image) driving framework based on SVR and MPEG-4 for automatic 3D facial expression animation. Through using the method of support vector regression (SVR), the framework can learn and forecast the regression relationship between the facial animation parameters (FAPs) and the parameters of expression ratio image. Firstly, we build a 3D face animation system driven by FAP. Secondly, through using the method of principle component analysis (PCA), we generate the parameter sets of eigen-ERI space, which will rebuild reasonable expression ratio image. Then we learn a model with the support vector regression mapping, and facial animation parameters can be synthesized quickly with the parameters of eigen-ERI. Finally, we implement our 3D face animation system driving by the result of FAP and it works effectively.

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3

Tseng, Juin-Ling. "An Improved Surface Simplification Method for Facial Expression Animation Based on Homogeneous Coordinate Transformation Matrix and Maximum Shape Operator." Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/2370919.

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Facial animation is one of the most popular 3D animation topics researched in recent years. However, when using facial animation, a 3D facial animation model has to be stored. This 3D facial animation model requires many triangles to accurately describe and demonstrate facial expression animation because the face often presents a number of different expressions. Consequently, the costs associated with facial animation have increased rapidly. In an effort to reduce storage costs, researchers have sought to simplify 3D animation models using techniques such as Deformation Sensitive Decimation and Feature Edge Quadric. The studies conducted have examined the problems in the homogeneity of the local coordinate system between different expression models and in the retainment of simplified model characteristics. This paper proposes a method that applies Homogeneous Coordinate Transformation Matrix to solve the problem of homogeneity of the local coordinate system and Maximum Shape Operator to detect shape changes in facial animation so as to properly preserve the features of facial expressions. Further, root mean square error and perceived quality error are used to compare the errors generated by different simplification methods in experiments. Experimental results show that, compared with Deformation Sensitive Decimation and Feature Edge Quadric, our method can not only reduce the errors caused by simplification of facial animation, but also retain more facial features.

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4

Adibah Najihah Mat Noor, Noor, Norhaida Mohd Suaib, Muhammad Anwar Ahmad, and Ibrahim Ahmad. "Review on 3D Facial Animation Techniques." International Journal of Engineering & Technology 7, no. 4.44 (2018): 181. http://dx.doi.org/10.14419/ijet.v7i4.44.26980.

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Generating facial animation has always been a challenge towards the graphical visualization area. Numerous efforts had been carried out in order to achieve high realism in facial animation. This paper surveys techniques applied in facial animation targeting towards realistic facial animation. We discuss the facial modeling techniques from different viewpoints; related geometric-based manipulation (that can be further categorized into interpolations, parameterization, muscle-based and pseudo–muscle-based model) and facial animation techniques involving speech-driven, image-based and data-captured. The paper will summarize and describe the related theories, strength and weaknesses for each technique.

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5

Chechko, D. A., and A. V. Radionova. "THE VIDEOCOURSE “FACIAL ANIMATION IN BLENDER”." Informatics in school, no. 9 (December 20, 2018): 57–60. http://dx.doi.org/10.32517/2221-1993-2018-17-9-57-60.

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One of the most difcult areas of 3D computer graphics is a facial animation. To create it, you need knowledge of facial muscles anatomy, methods and techniques of facial animation, skills in a 3D modeling software. The article describes facial animation tutorials in Blender. The tutorials introduce two methods of facial animation: using shape keys and motion tracking. The tutorials can be used at school, but requires basic Blender knowledge.

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6

Kocoń, Maja, and Zigniew Emirsajłow. "Facial expression animation overview." IFAC Proceedings Volumes 42, no. 13 (2009): 312–17. http://dx.doi.org/10.3182/20090819-3-pl-3002.00055.

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7

Williams, Lance. "Performance-driven facial animation." ACM SIGGRAPH Computer Graphics 24, no. 4 (1990): 235–42. http://dx.doi.org/10.1145/97880.97906.

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8

Poole, M. D. "PR26 FACIAL RE-ANIMATION." ANZ Journal of Surgery 77, s1 (2007): A67. http://dx.doi.org/10.1111/j.1445-2197.2007.04127_25.x.

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9

Parke, Frederic I. "Guest editorial: Facial animation." Journal of Visualization and Computer Animation 2, no. 4 (1991): 117. http://dx.doi.org/10.1002/vis.4340020403.

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10

Yong, Jian Hua, and Ping Guang Cheng. "Design and Implementation of 3D Facial Animation Based on MPEG-4." Advanced Materials Research 433-440 (January 2012): 5045–49. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5045.

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Through the in-depth study of the MPEG-4 face model definition standard and animation-driven principles, learning from the existing generation technology of facial animation, this paper presents a 3D facial animation system design program. This program can accept driver information to generate a realistic facial expression animation and simulate the real face actions. At the same time, in the implementation process it also uses FAP frame with a mask and implementation method of FAP intermediate frame calculation, insert to reduce the amount of animation-driven data, and then improve the continuous effect of facial animation.

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