Abstract
The creation of three-dimensional (3D) games, augmented reality (AR), virtual reality (VR), and 3D printing high polygon demanded applications mainly depend on the number of 3D meshes. 3D photogrammetry scanned models are usually constituted from millions of meshes in order to capture all details, which requires high processing and large memory requirements. Consequently, it’s too difficult to use 3D photogrammetry scanned models in its original state with its high number of meshes and the huge sizes because it will severely impact the needed computational cost and storage. This paper proposes an efficient compression method that provides the 3D photogrammetry scanned model that can be efficiently worked on these demanded applications by reducing the number of meshes with post-processing for good visual quality. The proposed method improved the results significantly compared to the existed method by achieving a higher compression ratio with satisfactory quality.
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
Siddeq, Mohammed Mustafa. 2017. Novel methods of image compression for 3D reconstruction. Sheffield Hallam University, Doctoral.
Alliez, P., and C. Gotsman. 2005. Recent advances in compression of 3D meshes. In Advances in multi resolution for geometric modelling, ed. by N.A. Dodgson, M.S. Floater, and M.A. Sabin. Berlin, Heidelberg: Mathematics and visualization Springer Journal.
Peng, Jingliang, Chang-Su Kim, and Jay Kuo. 2005. Technologies for 3D mesh compression. Journal of Visual Communication and Image Representation 16: 688–733 (Elsevier Inc.).
Tamie, Abderazzak, Abderrahim Saaidi, and Khalid Satori. 2016. Comparative study of mesh simplification. Springer International Publishing Switzerland.
Dong, Yuanyuan, Xiaoqing Yu, and Pengfei Li. 2018. 3D model progressive compression algorithm using attributes. In International conference on smart and sustainable city. IEEE.
Hoppe, H. 1997. View-dependent refinement of progressive meshes. In Proceedings of the 24th annual conference on computer graphics and interactive techniques, SIGGRAPH, 189–198. New York, NY, USA: ACM Press/Addison Wesley Publishing Co.
Hoppe, H. 1998. Smooth view-dependent level-of-detail control and its application to terrain rendering. In Proceedings of the conference on visualization, 35–42. Los Alamitos, CA, USA: IEEE Computer Society Press.
Remondino, Fabio. 2011. Heritage recording and 3D modeling with photogrammetry and 3D scanning. 3D Optical Metrology (3DOM) Research Unit, Bruno Kessler Foundation (FBK), 38122 Trento, Italy.
Schroeder, W.J. 1997. A topology modifying progressive decimation algorithm. In IEEE visualization’, Proceedings, 205–212. Phoenix, AZ, USA.
Desbrun, Mathieu, Mark Meyer, Peter Schroder, Alan H. Barr. 1999. Implicit fairing of irregular meshes using diffusion and curvature flow. In Proceedings of the 26th annual conference on computer graphics and interactive techniques, 317–324. New York, NY, USA: ACM Press/Addison-Wesley Publishing Co.
Lee, Ho, Guillaume Lavoue, and Florent Dupont. 2012. Rate-distortion optimization for progressive compression of 3D mesh with color attributes. The Visual Computer: 137–153.
Shi, Zhou, Qian Kong, Ke Yu, and Xiaonan Luo. 2018. A new triangle mesh simplification method with sharp feature. In 7th international conference on digital home (ICDH). IEEE.
Sun, J., Y. Ding, Z. Huang, N. Wang, X. Zhu, and J. Xi. 2018. Laplacian deformation algorithm based on mesh model simplification. In IEEE 3rd international conference on image, vision and computing (ICIVC).
Wang, Yongzhi, Jianwen Zheng, and Hui Wang. 2019. Fast mesh simplification method for three-dimensional geometric models with feature-preserving efficiency. Hindawi Scientific Programming Volume Article ID 4926190.
Shen, Qiqi, Yun Sheng, Congkun Chen, Guixu Zhang, and Hassan Ugail. 2017. A PDE patch-based spectral method for progressive mesh. Germany: ©Springer-Verlag GmbH.
Stanford dataset. http://graphics.stanford.edu/data/3Dscanrep/. Last visit June 13, 2019.
3D scanned statue of ancient Egyptian God Amun Ra Luxor museum using photogrammetry scan by Ibrahim Mustafa Ibrahim. https://sketchfab.com/imhotep25. Last visit June 13, 2019.
D Studio Max software. https://www.autodesk.com/products/3Ds-max/overview. Last visit June 16, 2019.
Cignoni, P., C. Montani, and R. Scopigno. 1998. A comparison of mesh simplification algorithms. Computer & Graphics (Elsevier Science Ltd.).
Sorkine, O., D. Co, Y. Lipman, M. Alexa, C. Rössl, and H. Seidel. 2004. Laplacian surface editing. In Proceedings of the Euro graphics ACM SIGGRAPH symposium on geometry processing. SGP ’04, 175–184. Nice, France: ACM.
Sun, J., Z. Huang, X. Zhu, L. Zeng, Y. Liu, and J. Ding. 2017. Deformation corrected workflow for maxillofacial prosthesis modeling. Advances in Mechanical Engineering 9: 1–10.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hassan, M.S., Shamardan, HE.M., Sadek, R.A. (2020). An Improved Compression Method for 3D Photogrammetry Scanned High Polygon Models for Virtual Reality, Augmented Reality, and 3D Printing Demanded Applications. In: Ghalwash, A., El Khameesy, N., Magdi, D., Joshi, A. (eds) Internet of Things—Applications and Future. Lecture Notes in Networks and Systems, vol 114. Springer, Singapore. https://doi.org/10.1007/978-981-15-3075-3_13
Download citation
DOI: https://doi.org/10.1007/978-981-15-3075-3_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3074-6
Online ISBN: 978-981-15-3075-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)