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Fast Realistic 3D Face Modeling Algorithm for Film and Television Animation

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Frontier Computing (FC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1031))

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Abstract

This is a project aimed at creating a facial modeling algorithm that can be used to make 3D animated movies and TV programs. The main goal of the project is to develop a fast, realistic and accurate method to create facial expressions. The research will focus on three important aspects: (1) realistic facial expression generation; (2) Facial feature extraction; And (3) face flush/rigging. The proposed algorithm will be based on the following principles. A multi-scale method with multiple levels of detail from rough to fine will enable us to capture.

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References

  1. Petrov, I.B., Stognii, P.V., Khokhlov, N.I.: Mathematical modeling of 3D dynamic processes near a fracture using the schoenberg fracture model. Dokl. Math. 104(2), 254–257 (2022)

    Article  MathSciNet  MATH  Google Scholar 

  2. Zhu, X., Liu, J., Cui, Y., et al.: An efficient parallel algorithm for 3D magnetotelluric modeling with edge-based finite element. Comput. Geosci. 25(4) (2021)

    Google Scholar 

  3. Zhang, J., Liu, J., Feng, B., et al.: Three-dimensional magnetotelluric modeling using the finite element model reduction algorithm. Comput. Geosci. 151(3), 104750 (2021)

    Article  Google Scholar 

  4. Lee, K.S., Song, H.K.: Automation of 3D average human body shape modeling using rhino and grasshopper algorithm. Fashion Text. 8(1), 23 (2021)

    Article  Google Scholar 

  5. Belforte, P.: MAE: MODELING ALGORITHM EXERCISER (2021)

    Google Scholar 

  6. Vrinda, K., Kurup, D.G.: Efficient optimization based differential evolution algorithm for accurate rational function modeling of radio-frequency filters. J. Commun. Technol. Electron. 66(Suppl 2), S79-S88 (2022)

    Google Scholar 

  7. Pang, Y., Wang, H., Lou, J., et al.: Longwall face roof disaster prediction algorithm based on data model driving. Int. J. Coal Sci. Technol. 9(1) (2022)

    Google Scholar 

  8. Di, C., Peng, J., Di, Y., et al.: 3D face modeling algorithm for film and television animation based on lightweight convolutional neural network. Complexity 2021 (2021)

    Google Scholar 

  9. Hamza, N.A., Abdul-Majeed, G.H.: A new approach for 3D face modeling using multi-view-stereo and ICP algorithms (2020)

    Google Scholar 

  10. Ye, D., Fuh, C.S.: 3D morphable face model for face animation. Int. J. Image Graph. 20(1), 2050003 (2020)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Dalian University of Science and Technology, Dalian, 116082, China

    Jingshuang Wang

Authors
  1. Jingshuang Wang
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Correspondence to Jingshuang Wang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Fukushima, Japan

    Neil Y. Yen

  3. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jia-Wei Chang

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Wang, J. (2023). Fast Realistic 3D Face Modeling Algorithm for Film and Television Animation. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_201

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  • DOI: https://doi.org/10.1007/978-981-99-1428-9_201

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1427-2

  • Online ISBN: 978-981-99-1428-9

  • eBook Packages: EngineeringEngineering (R0)

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