journal article·2023-06-05Open access

3D Reconstruction of Celadon from a 2D Image: Application to Path Tracing and VR

Seongil Kim, Youngjin Park

Applied Sciences· Volume 13· Issue 11

Abstract

We present a straightforward approach for reconstructing 3D celadon models from a single 2D image. The celadon is a historical example of the surface of revolution. Our approach uses a surface of revolution technique to generate the basic shape of the celadon and then applies texture mapping to create a realistic appearance. The process involves detecting the contour and corners of the celadon image, determining an axis of revolution, generating a profile curve, and finally constructing a 3D celadon model. Additionally, we create models as triangular meshes at multiple resolutions, employing a B-spline curve as the profile curve. It enhances the adaptability of the models for various purposes. We render various scenes using a path tracer to assess the suitability of the generated 3D celadon models and generate a VR celadon museum with the models. Overall, our approach offers a simple and efficient solution for reconstructing a 3D celadon model, generating VR content, and demonstrating extensive applicability across numerous disciplines.
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Research context

OpenAlex topics: Image Processing and 3D Reconstruction · 3D Surveying and Cultural Heritage · Computer Graphics and Visualization Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Engineering, Dong-A University, Busan 49315, Republic of Korea

Funding

Dong-A University

References (37)

Show source-provided references
1. Koh Choo. A scientific study of traditional Korean celadons and their modern developments10.1111/j.1475-4754.1995.tb00727.x ↗
2. Namwon, J. (2020). A Companion to Korean Art, Wiley.
3. A comparative study of typical early celadon shards from Eastern Zhou and Eastern Han dynasty (China)
4. Banterle, F., Itkin, B., Dellepiane, M., Wolf, L., Callieri, M., Dershowitz, N., and Scopigno, R. (2017, January 9–15). Vasesketch: Automatic 3d representation of pottery from paper catalog drawings. Proceedings of the 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan.10.1109/ICDAR.2017.117 ↗
5. PotteryVR: Virtual reality pottery10.1007/s00371-022-02521-2 ↗
6. Kampel, M., and Sablatnig, R. (2003, January 16–22). Profile-based pottery reconstruction. Proceedings of the 2003 Conference on Computer Vision and Pattern Recognition Workshop, Madison, WI, USA.10.1109/CVPRW.2003.10007 ↗
7. Karasik, A. (2010, January 13–18). A complete, automatic procedure for pottery documentation and analysis. Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops, San Francisco, CA, USA.10.1109/CVPRW.2010.5543563 ↗
8. 3D scanning technology as a standard archaeological tool for pottery analysis: Practice and theory10.1016/j.jas.2007.08.008 ↗
9. Evaluating websites of museums: State of the art10.1016/j.culher.2016.10.016 ↗
10. Shehade, M., and Stylianou-Lambert, T. (2020). Virtual Reality in Museums: Exploring the Experiences of Museum Professionals. Appl. Sci., 10.10.3390/app10114031 ↗
11. Banfi, F., Pontisso, M., Paolillo, F.R., Roascio, S., Spallino, C., and Stanga, C. (2023). Interactive and Immersive Digital Representation for Virtual Museum: VR and AR for Semantic Enrichment of Museo Nazionale Romano, Antiquarium di Lucrezia Romana and Antiquarium di Villa Dei Quintili. ISPRS Int. J. Geo-Inf., 12.10.3390/ijgi12020028 ↗
12. The Variables of Surface of Revolution and its effects on Human Visual Preference10.15701/kcgs.2022.28.4.31 ↗
13. Algorithms for Smoothing Data with Periodic and Parametric Splines10.1016/0146-664X(82)90043-0 ↗
14. Surface algorithms using bounds on derivatives10.1016/0167-8396(86)90005-1 ↗
15. Cohen, E., Riesenfeld, R.F., and Elber, G. (2001). Geometric Modeling with Splines: An Introduction, CRC Press.10.1201/9781439864203 ↗
16. Farin, G. (2014). Curves and Surfaces for Computer-Aided Geometric Design: A Practical Guide, Elsevier.
17. Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature10.3138/FM57-6770-U75U-7727 ↗
18. Rules for the robot draughtsmen
19. Encarnacao, J.L. (1981). Eurographics Conference Proceedings, The Eurographics Association.
20. Reumann, K., and Witkam, A.P.M. (1973, January 4–7). Optimizing curve segmentation in computer graphics. Proceedings of the International Computing Symposium 1973, Davos, Switzerland.
21. Line generalisation by repeated elimination of points10.1179/caj.1993.30.1.46 ↗
22. Jakob, W., Speierer, S., Roussel, N., Nimier-David, M., Vicini, D., Zeltner, T., Nicolet, B., Crespo, M., Leroy, V., and Zhang, Z. (2023, January 10). Mitsuba 3 Renderer. Available online: https://mitsuba-renderer.org.
23. Topological Structural Analysis of Digitized Binary Images by Border Following10.1016/0734-189X(85)90016-7 ↗
24. An Approach to the Analysis and Extraction of Pattern Features Using Integral Geometry10.1109/TSMC.1972.5408563 ↗
25. Moravec, H.P. (1980). Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover, Stanford University.
26. Harris, C., and Stephens, M. (September, January 31). A Combined Corner and Edge Detector. Proceedings of the Alvey Vision Conference, Manchester, UK.
27. Shi, J., and Tomasi, C. (1994, January 21–23). Good Features to Track. Proceedings of the 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA.
28. Hall, N.S., and Laflin, S. (1984). Computer Applications in Archaeology, Computer Center, University of Birmingham.
29. Badiu, I., Buna, Z., and Comes, R. (2015). Automatic generation of ancient pottery profiles using CAD software. J. Anc. Hist. Archaeol., 2.10.14795/j.v2i2.110 ↗
30. Reconstruction of surfaces of revolution from single uncalibrated views10.1016/j.imavis.2004.02.003 ↗
31. Metric 3D reconstruction and texture acquisition of surfaces of revolution from a single uncalibrated view10.1109/TPAMI.2005.14 ↗
32. New techniques for ray tracing procedurally defined objects10.1145/964967.801137 ↗
33. Baciu, G., Jia, J., and Lam, G. (2001, January 3–6). Ray tracing surfaces of revolution: An old problem with a new perspective. Proceedings of the Computer Graphics International 2001, Hong Kong, China.
34. (2022, December 20). Goryeo Celadon Museum. Available online: https://www.celadon.go.kr/.
35. (2023, January 10). Rendering Resources. Available online: https://benedikt-bitterli.me/resources/.
36. (2023, February 21). Unreal Engine 5. Available online: https://www.unrealengine.com/.
37. Optix: A general purpose ray tracing engine10.1145/1778765.1778803 ↗