Please wait a minute...
Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (7): 533-541    DOI: 10.1631/jzus.C1000228
    
Procedural modeling of water caustics and foamy water for cartoon animation
Jing Liao1, Jin-hui Yu*,1, Long Jia2
1 State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou 310027, China 2 School of Information Technology and Mathematical Sciences, University of Ballarat, Ballarat 3350, Australia
Download:   PDF(501KB)
Export: BibTeX | EndNote (RIS)      

Abstract  We propose a method for procedural modeling and animation of cartoon water effects such as water caustics, foamy wake, and longshore currents. 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.

Key wordsProcedural modeling      Water effects      Non-photorealistic rendering      Cartoon animation     
Received: 29 June 2010      Published: 04 July 2011
CLC:  TP391  
Cite this article:

Jing Liao, Jin-hui Yu, Long Jia. Procedural modeling of water caustics and foamy water for cartoon animation. Front. Inform. Technol. Electron. Eng., 2011, 12(7): 533-541.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1000228     OR     http://www.zjujournals.com/xueshu/fitee/Y2011/V12/I7/533


Procedural modeling of water caustics and foamy water for cartoon animation

We propose a method for procedural modeling and animation of cartoon water effects such as water caustics, foamy wake, and longshore currents. 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.

关键词: Procedural modeling,  Water effects,  Non-photorealistic rendering,  Cartoon animation 
[1] Yuan-ping Nie, Yi Han, Jiu-ming Huang, Bo Jiao, Ai-ping Li. Attention-based encoder-decoder model for answer selection in question answering[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(4): 535-544.
[2] Rong-Feng Zhang , Ting Deng , Gui-Hong Wang , Jing-Lun Shi , Quan-Sheng Guan . A robust object tracking framework based on a reliable point assignment algorithm[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(4): 545-558.
[3] Gopi Ram , Durbadal Mandal , Sakti Prasad Ghoshal , Rajib Kar . Optimal array factor radiation pattern synthesis for linear antenna array using cat swarm optimization: validation by an electromagnetic simulator[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(4): 570-577.
[4] Lin-bo Qiao, Bo-feng Zhang, Jin-shu Su, Xi-cheng Lu. A systematic review of structured sparse learning[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(4): 445-463.
[5] . A quality requirements model and verification approach for system of systems based on description logic[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 346-361.
[6] Ali Darvish Falehi, Ali Mosallanejad. Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS controller-TCSC based on multi-objective PSO[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 394-409.
[7] Wen-yan Xiao, Ming-wen Wang, Zhen Weng, Li-lin Zhang, Jia-li Zuo. Corpus-based research on English word recognition rates in primary school and word selection strategy[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 362-372.
[8] Li Weigang. First and Others credit-assignment schema for evaluating the academic contribution of coauthors[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(2): 180-194.
[9] Jun-hong Zhang, Yu Liu. Application of complete ensemble intrinsic time-scale decomposition and least-square SVM optimized using hybrid DE and PSO to fault diagnosis of diesel engines[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(2): 272-286.
[10] Hui Chen, Bao-gang Wei, Yi-ming Li, Yong-huai Liu, Wen-hao Zhu. An easy-to-use evaluation framework for benchmarking entity recognition and disambiguation systems[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(2): 195-205.
[11] Yue-ting Zhuang, Fei Wu, Chun Chen, Yun-he Pan. Challenges and opportunities: from big data to knowledge in AI 2.0[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(1): 3-14.
[12] Bo-hu Li, Hui-yang Qu, Ting-yu Lin, Bao-cun Hou, Xiang Zhai, Guo-qiang Shi, Jun-hua Zhou, Chao Ruan. A swarm intelligence design based on a workshop of meta-synthetic engineering[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(1): 149-152.
[13] Yong-hong Tian, Xi-lin Chen, Hong-kai Xiong, Hong-liang Li, Li-rong Dai, Jing Chen, Jun-liang Xing, Jing Chen, Xi-hong Wu, Wei-min Hu, Yu Hu, Tie-jun Huang, Wen Gao. Towards human-like and transhuman perception in AI 2.0: a review[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(1): 58-67.
[14] Yu-xin Peng, Wen-wu Zhu, Yao Zhao, Chang-sheng Xu, Qing-ming Huang, Han-qing Lu, Qing-hua Zheng, Tie-jun Huang, Wen Gao. Cross-media analysis and reasoning: advances and directions[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(1): 44-57.
[15] Le-kui Zhou, Si-liang Tang, Jun Xiao, Fei Wu, Yue-ting Zhuang. Disambiguating named entities with deep supervised learning via crowd labels[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(1): 97-106.