Abstract
In this era of rapid development of science and technology, people are less and less satisfied with text as a source of information. With the development and expansion of computer application, image has become an important source of information for people, and digital image processing technology has exerted a profound influence on the field of artistic creation, among which oil painting creation has also been challenged unprecedentally. This paper mainly studies the application of 3D image technology in 3D reconstruction of Impressionist oil painting. Based on point cloud(PB) three-dimensional reconstruction technique was studied. Experimental results show that the improved coarse PB registration algorithm improves the registration accuracy compared with other coarse registration algorithms, and the registration effect is good, which proves the effectiveness of the algorithm. At the same time, in this paper, 3 d reconstruction technology process in terms of the reconstruction of PB model, the effect is outstanding.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hua, K.-L., Ho, T.-T., Jangtjik, K.-A., Chen, Y.-J., Yeh, M.-C.: Artist-based painting classification using Markov random fields with convolution neural network. Multimedia Tools Appl. 79(17–18), 12635–12658 (2020). https://doi.org/10.1007/s11042-019-08547-4
Okaichi, N., Watanabe, H., Sasaki, H., et al.: Integral three-dimensional display with high image quality using multiple flat-panel displays. Electron. Imaging 2017(5), 74–79 (2017)
Fernandez, M.A., et al.: Painting the pacific: a comparative analysis of the lightfastness of watercolors made from indigenous plants in the pacific region. J. Health Disparities Res. Pract. 12(4), 23–23 (2018)
Gao, L.: Research on the application of digital art in traditional painting. Boletin Tecnico/Tech. Bull. 55(11), 145–150 (2017)
Nazmitdinov, R.G., Robledo, L.M., Ring, P., et al.: Representation of three-dimensional rotations in oscillator basis sets. Nucl. Phys. A 596(1), 53–66 (2016)
Erez, F., Tzvi, G., Ilan, S., et al.: Three-dimensional representations of objects in dorsal cortex are dissociable from those in ventral cortex. Cerebral Cortex 27(1), 422–434 (2017)
Ruiu, J., Caumon, G., Viseur, S.: Modeling channel forms and related sedimentary objects using a boundary representation based on non-uniform rational b-splines. Math. Geosci. 48(3), 259–284 (2015). https://doi.org/10.1007/s11004-015-9629-3
Plotnick, D., Marston, T.M.: Three-dimensional image reconstruction of objects using synthetic aperture sonar. J. Acoust. Soc. Am. 140(4), 3347 (2016)
Zhang, Y., Hou, H., Han, Y., et al.: Application progress of three-dimensional laser scanning technology in medical surface mapping. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 33(2), 373–377 (2016)
Zeraatkar, M., Khalili, K., Foorginejad, A.: High-precision laser scanning system for three-dimensional modeling of saffron flower: 3D modeling of saffron flower. J. Food Process Eng. 39(6), 553–563 (2016). https://doi.org/10.1111/jfpe.12248
Ohno, K., Date, H., Kanai, S.: Study on real-time PB superimposition on camera image to assist environmental three-dimensional laser scanning. Int. J. Autom. Technol. 15(3), 324–333 (2021)
Chao, M., Chiu, H.J., Lu, C.W., et al.: Using three-dimensional laser scanning for monitoring a long-span arch bridge launch. Proc. Inst. Civil Eng. Bridge Eng. 172(BE3), 204–216 (2019)
Acknowledgment
This work was supported by Humanities and Social Sciences Research of the Education Department of Liaoning Province Project "Chinese Contemporary Oil Painting Based on the Mission of Cultural Communication and Research on Innovation and Convergence of Digital Media" (SYDR202010).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Gao, N., Fu, L. (2022). Application of 3D Image Technology in the 3-Dimensional Reconstruction of Impressionist Oil Painting Art. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_36
Download citation
DOI: https://doi.org/10.1007/978-3-030-89508-2_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89507-5
Online ISBN: 978-3-030-89508-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)