Multi-resolution texture synthesis from turntable image sequences

doi:10.1007/s11465-012-0305-8

Front Mech Eng

0, Vol.

Issue () : 72-80 https://doi.org/10.1007/s11465-012-0305-8

RESEARCH ARTICLE

Multi-resolution texture synthesis from turntable image sequences

Xuedong WANG, Xiaojun WU(

), Xiaorong ZHANG

School of Control Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China

Download: PDF(826 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Texture synthesis and texture mapping are important technologies for rendering realistic three-dimensional scene. It has been widely used in virtual reality, urban modeling, 3D animation, gaming and other areas. In this paper, we propose a fast method to construct high quality texture map for multi-resolution texture synthesis from turntable image sequences. Given a 3D mesh model, we first get the projection relationship between 3D mesh and image sequences. We then use image sequences to construct a texture triangle for each 3D triangle mesh and get a global rectangular texture map for the whole mesh. Another approach to construct a texture map is using Stretch-minimizing mesh parameterization. Finally, we map the texture to mesh model to verify the quality of these two methods. The high performance of this method has been demonstrated in many real object models.

Keywords texture synthesis multi-resolution texture map texture mapping

Corresponding Author(s): WU Xiaojun,Email:hit.wu.xj@gmail.com

Issue Date: 05 March 2012

Cite this article:

Xuedong WANG,Xiaojun WU,Xiaorong ZHANG. Multi-resolution texture synthesis from turntable image sequences[J]. Front Mech Eng, 0, (): 72-80.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-012-0305-8
https://academic.hep.com.cn/fme/EN/Y0/V/I/72

Fig.1 Turntable image sequence and the reconstructed 3D mesh model

Fig.2 Basic framework of the algorithm implements

Fig.3 Project a 3D triangle onto 2D image plane

Fig.4 Texture triangle of or pixels

Fig.5 Triangle with resolution

Fig.6 Triangle with resolution

Fig.7 Label inner pixels of projected triangle

Fig.8 Compute bounding box and inner pixels

Fig.9 Image space convert into texture space

Fig.10 Group each two adjacent triangle into quad

Fig.11 Global texture map and multi-resolution texture triangles. (a) Global texture map; (b) multi-resolution quads

Fig.12 Memory saving technique for high-resolution model texture synthesis

Fig.13 Six images of thirty six of a Captain from a turntable

Fig.14 Real model image and texture map of Captain

Fig.15 Six images of thirty six of a Bighead from a turntable (Courtesy of the Image-based 3D Models Archive [])

Fig.16 Real model image and texture map of Bighead

Fig.17 Texture of Bighead based on mesh parameterization

1	Blinn J F, Newell M E. Texture and reflection in computer generated images. Communications of the ACM , 1976, 19(10): 542–547 doi: 10.1145/360349.360353
2	Catmull E. Subdivision algorithm for computer display of curved surface. Dissertation for the Doctoral Degree. University of Utah , 1974
3	Perlin K. An image synthesizer. Proceedings of the 12^th Annual Conference on Computer Graphics and Interactive Techniques , 1985, 19(3): 287–296 doi: 10.1145/325165.325247
4	Peachey D R. Solid texturing of complex surfaces. In: Proceedings of the 12th Annual Conference on Computer Graphics and Interactive Techniques , 1985, 19(3): 279–286 .
5	Worley S. A cellular texture basis function. Proceedings of the 23^rd Annual Conference on Computer Graphics and Interactive Techniques , 1996, 19(4):291–294 .
6	Soucy M, Laurendeau D. A dynamic integration algorithm to model surfaces from multiple range views. Machine Vision and Applications , 1995, 8(1): 53–62 doi: 10.1007/BF01213638
7	Soucy M, Laurendeau D. A general surface approach to the integration of a set of range views. IEEE Transactions on Pattern Analysis and Machine Intelligence , 1995, 17(4): 344–358 doi: 10.1109/34.385982
8	Alexei A. Efros &William T. Freeman. Image quilting for texture synthesis and transfer. In: Proceedings of the 28th Annual Conference on Computer graphics and interactive techniques, Los Angeles, California , 2001, 341–347
9	Song P, Wu X J, Wang M Y. Multi-view stereo reconstruction for 3D object. In: Proceedings of the IEEE International Conference on Robotics and Automation, Zhuhai , 2009, 784–789
10	Song P, Wu X J, Wang M Y. Multi-view stereo reconstruction with silhouette constraint. The Visual Computer , 2010, 26(12): 1435–1450
11	Soucy M, Godin G, Rioux M. A texture mapping approach for the compression of colored 3D triangulations. Visual Computer , 1996, 12(10): 503–514 doi: 10.1007/s003710050082
12	Esteban C H. Stereo and silhouette fusion for 3D object modeling from uncalibrated images under circular motion. Dissertation for the Doctoral Degree, ENST , 2004
13	Bighead sequence. http://www.tsi.enst.fr/3dmodels/html/enst/bigHead.html
14	Yoshizawa S, Belyaev A, Seidel H P. A fast and simple stretch-minimizing mesh parameterization. Shape Modeling Applications , 2004, Proceedings, 200–208

Viewed

Full text

Abstract

Cited

Shared

Discussed