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Interactive 3D caricature generation based on double sampling

Authors:

Xingyu GaoAuthors Info & Claims

MM '09: Proceedings of the 17th ACM international conference on Multimedia

Pages 745 - 748

https://doi.org/10.1145/1631272.1631403

Published: 19 October 2009 Publication History

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Abstract

Recently, 3D caricature generation and applications have attracted wide attention from both the research community and the entertainment industry. This paper proposes a novel interactive approach for various and interesting 3D caricature generation based on double sampling. Firstly, according to user's operation, we obtain a coarse 3D caricature with local features transformation by sampling in well-built principle component analysis (PCA) subspace. Secondly, to utilize information of the 2D caricature dataset, we sample in the local linear embedding (LLE) manifold subspace. Finally, we use the learned 2D caricature information to further refine the coarse caricature by applying Kriging interpolation. The experiments show that the 3D caricature generated by our method can preserve highly artistic styles and also reflect the user's intention.

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Cited By

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Olivier NKerbiriou GArguelaguet FAvril QDanieau FGuillotel PHoyet LMulton F(2022)Study on Automatic 3D Facial Caricaturization: From Rules to Deep LearningFrontiers in Virtual Reality10.3389/frvir.2021.7851042Online publication date: 19-Jan-2022
https://doi.org/10.3389/frvir.2021.785104
Zhou JWu HLiu ZTong XGuo B(2018)3D cartoon face rigging from sparse examplesThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-018-1553-334:9(1177-1187)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.1007/s00371-018-1553-3
Han XGao CYu Y(2017)DeepSketch2FaceACM Transactions on Graphics10.1145/3072959.307362936:4(1-12)Online publication date: 20-Jul-2017
https://dl.acm.org/doi/10.1145/3072959.3073629
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Index Terms

Interactive 3D caricature generation based on double sampling
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

MM '09: Proceedings of the 17th ACM international conference on Multimedia

October 2009

1202 pages

ISBN:9781605586083

DOI:10.1145/1631272

General Chairs:
Wen Gao
Peking University, China
,
Yong Rui
Microsoft, China
,
Alan Hanjalic
Delft University of Technology, The Netherlands
,
Program Chairs:
Changsheng Xu
Institute of Automation, Chinese Academy of Sciences, China
,
Eckehard Steinbach
Technical University of Munich, Germany
,
Abdulmotaleb El Saddik
University of Ottawa, Canada
,
Michelle Zhou
IBM T. J. Watson Research Center, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2009

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MM09

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SIGMM

MM09: ACM Multimedia Conference

October 19 - 24, 2009

Beijing, China

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

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Cited By

View all

Olivier NKerbiriou GArguelaguet FAvril QDanieau FGuillotel PHoyet LMulton F(2022)Study on Automatic 3D Facial Caricaturization: From Rules to Deep LearningFrontiers in Virtual Reality10.3389/frvir.2021.7851042Online publication date: 19-Jan-2022
https://doi.org/10.3389/frvir.2021.785104
Zhou JWu HLiu ZTong XGuo B(2018)3D cartoon face rigging from sparse examplesThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-018-1553-334:9(1177-1187)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.1007/s00371-018-1553-3
Han XGao CYu Y(2017)DeepSketch2FaceACM Transactions on Graphics10.1145/3072959.307362936:4(1-12)Online publication date: 20-Jul-2017
https://dl.acm.org/doi/10.1145/3072959.3073629
Zhou JTong XLiu ZGuo B(2016)3D cartoon face generation by local deformation mappingThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1265-532:6-8(717-727)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s00371-016-1265-5
Xiang ZYu Z(2014)Voronoi-clustering for plane data2014 10th International Conference on Natural Computation (ICNC)10.1109/ICNC.2014.6975932(759-763)Online publication date: Aug-2014
https://doi.org/10.1109/ICNC.2014.6975932
Zhao ZMa Q(2014)A novel method for image clustering2014 10th International Conference on Natural Computation (ICNC)10.1109/ICNC.2014.6975912(648-652)Online publication date: Aug-2014
https://doi.org/10.1109/ICNC.2014.6975912
Vieira RVidal CCavalcante-Neto J(2013)Three-Dimensional Face Caricaturing by Anthropometric DistortionsProceedings of the 2013 XXVI Conference on Graphics, Patterns and Images10.1109/SIBGRAPI.2013.31(163-170)Online publication date: 5-Aug-2013
https://dl.acm.org/doi/10.1109/SIBGRAPI.2013.31
Liu SWang JZhang MWang Z(2013)Three-dimensional cartoon facial animation based on art rulesThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-012-0756-229:11(1135-1149)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1007/s00371-012-0756-2
Wang SLai S(2010)Manifold‐Based 3D Face Caricature Generation with Individualized Facial Feature ExtractionComputer Graphics Forum10.1111/j.1467-8659.2010.01804.x29:7(2161-2168)Online publication date: 18-Oct-2010
https://doi.org/10.1111/j.1467-8659.2010.01804.x

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