Research on Real Time Ink Animation Generation Method Based on Multi Perspective Stereoscopic Vision
Main Article Content
Abstract
In response to the problems of cumbersome traditional ink animation production process, high dependence on hand drawing, long cycle, high cost, and insufficient real-time interaction and dynamic generation capabilities, this paper deeply integrates multi perspective stereoscopic vision technology with non realistic rendering, real-time graphics, and ink stylized algorithms, and proposes a complete real-time ink animation generation method. Research and develop a multi perspective stereo vision 3D reconstruction and dynamic capture process to achieve high-precision 3D geometric acquisition of real scenes, human movements, and object movements; Design a 3D model simplification, line extraction, stroke generation, and ink color blending algorithm for ink painting art, and establish a four layer stylized mapping mechanism of “geometry stroke ink rhyme artistic conception”; Propose a multi perspective collaborative rendering and temporal consistency optimization strategy to ensure consistent style, smooth motion, and real-time performance of ink animation in continuous perspectives; Develop a prototype system that integrates multi perspective acquisition, 3D reconstruction, ink painting stylization, real-time rendering, and animation output.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
Q. Li and H. Ai, “Analysis of the impact of digital inkwash animation learning activities integrating psychological theories on students with bipolar disorder,” Schizophrenia Bulletin, vol. 52, no. Supplement_1, pp. S93-S93, 2026, doi: 10.1093/schbul/sbag003.136.
S. Macdonald, “Receiving the Classics: The Curation of Ink Painting Animation in the Early People’s Republic of China,” Animation, vol. 20, no. 3, pp. 252–269, 2025, doi: 10.1177/17468477251370903.
Z. Lin, “Sound Study and the Coordination between Sound and Picture in WaterandInk Animation: Taking Where Is Mama, The Cowboy’s Flute, The Deer’s Bell and Feeling from Mountain and Water as Examples,” Art and Design Review, vol. 13, no. 03, pp. 221–242, 2025, doi: 10.4236/adr.2025.133017.
H. Zhang, X. Yang, and R. Sato, “Cultural Heritage in Ink Animation: A Study of Cultural Exchange between Master Ingen and Manpukuji Temple in Japan and China,” Proceedings of the International Conference on ICT Application Research, 24550, 2024, doi: 10.32188/IAR.2.0_45.
Q. Hu, “Artistic Characteristics and Innovative Application of Ink Animation in Animation Scenes in the Age of Artificial Intelligence,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, 2024, doi: 10.2478/amns-2024-0591.
X. Ma, “Research on the Application of Dynamic Simulation and 3D Modeling Technology for Ink Animation Performance,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, 2024, doi: 10.2478/amns-2024-3110.
D. Wei, “Ink Animation VR Design Based on Wireless Sensor and HTML5 Interactive Technology,” Computational Intelligence and Neuroscience, vol. 2022, 7574231, 2022, doi: 10.1155/2022/7574231.
Z. Xinghua, “Animated ink and wash character modeling and simulation based on automatic intelligent matching of local pixel blocks,” Neural Computing and Applications, vol. 35, no. 6, pp. 4307–4317, 2022, doi: 10.1007/s00521-022-06991-2.
L. Zeng and X. Zhu, “Constructing cultural identities through new media: a multimodal appraisal analysis of Chinese webbased ink and wash cartoons,” Semiotica, vol. 2024, no. 259, pp. 217–253, 2024, doi: 10.1515/sem-2022-0098.
X. Zhang, “Research on the Application of Ink Figure Painting art features in Ink Animation characters,” Frontiers in Educational Research, vol. 4, no. 1, 2021, doi: 10.25236/FER.2021.040112.
X. Zhang, “A Research on the value of Chinese ink painting in Ink animation character design,” Academic Journal of Humanities & Social Sciences, vol. 4, no. 1, 2021, doi: 10.25236/AJHSS.2021.040120.
Painterly focused Chinese ink animation: Seeing through the cultural lens of the Xiang system, “Animation Practice, Process & Production,” 2020;8(1):141-164, doi: 10.1386/ap3_00009_1.
Y. Ye, F. Shao, H. Chen, et al., “Multiview stereo with crossscale feature fusion strategy and hybrid depth estimation,” Displays, vol. 90, 103128, 2025, doi: 10.1016/j.displa.2025.103128.
J. Yang, Y. He, C. Ren, et al., “A Hierarchical Prior Mining Approach for Nonlocal Multiview Stereo,” IEEE transactions on pattern analysis and machine intelligence, to be published, 2026, doi: 10.1109/TPAMI.2026.3652616.
Z. Ruirui and C. Cheng, “Ink Animation Art in the Digital Age,” Energy Procedia, vol. 17, pp. 1295–1298, 2012, doi: 10.1016/j.egypro.2012.02.241.
M. J., H. Z., X. Y., et al., “A realtime ProCam system for interaction with chinese inkandwash cartoons,” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007, doi: 10.1109/CVPR.2007.383480.
J. Ji, B. Han, X. Liu, et al., “DPAMVSNet: Dynamic Context Perception Multiview Stereo with transformers and data augmentation,” KnowledgeBased Systems, vol. 325, 113852, 2025, doi: 10.1016/j.knosys.2025.113852.
S. Yuhong, “Research on the application of digital technology in ink animation,” 2022, doi: 10.1117/12.2654132.
X. Xu, J. Li, J. Zhou, et al., “ThreeDimensional Reconstruction, Phenotypic Traits Extraction, and Yield Estimation of Shiitake Mushrooms Based on Structure from Motion and MultiView Stereo,” Agriculture, vol. 15, no. 3, 298, 2025, doi: 10.3390/agriculture15030298.
L. Nan, W. Hongjuan, G. Yanmei, et al., “Research on the evaluation of ink animation films based on Chip-GAN,” 2023, doi: 10.1117/12.3005040.