Abstract
Texture of reconstructed models are typically recovered by mapping detailed fragments to its surface, however, the visibility of the seams are often appear at the board of patches, due to inaccuracy mesh model and registration, lighting various and surface reflections etc. To address this problem, we apply a preprocessing step to every face in the mesh model by removing its candidate fragments, which are obviously different from others. Then, selecting fragment for every face is treated as a Markov random field energy optimization (MRF) problem, consist of the proposed data and smooth terms. Finally, poisson editing is employed to adjust the color information of vertices and edges of every fragments for better color consistency among fragments. Experimental results show that our method is able to produce seamless textured models with rich color information, compared with the state of the arts.
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
Baumberg, A.: Blending images for texturing 3D models. In: BMVC, vol. 3, pp. 5. Citeseer (2002)
Chen, T., Liu, Y., Li, J., Wu, P.: Fast narrow-baseline stereo matching using CUDA compatible GPUs. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds.) IGTA 2015. CCIS, vol. 525, pp. 10–17. Springer, Heidelberg (2015)
Chen, Z., Zhou, J., Chen, Y., Wang, G.: 3D texture mapping in multi-view reconstruction. In: Bebis, G., et al. (eds.) ISVC 2012, Part I. LNCS, vol. 7431, pp. 359–371. Springer, Heidelberg (2012)
Cui, P., Liu, Y., Wu, P., Li, J., Yi, S.: An effective multiview stereo method for uncalibrated images. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds.) CCCV 2015, Part I. CCIS, vol. 546, pp. 124–133. Springer, Heidelberg (2015)
Frahm, J.-M., et al.: Building Rome on a cloudless day. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 368–381. Springer, Heidelberg (2010)
Furukawa, Y., Ponce, J.: Accurate, dense, and robust multiview stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 32(8), 1362–1376 (2010)
Garcia-Dorado, I., Demir, I., Aliaga, D.G.: Automatic urban modeling using volumetric reconstruction with surface graph cuts. Comput. Graph. 37(7), 896–910 (2013)
Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Trans. Graph. (TOG) 32(3), 29 (2013)
Lempitsky, V., Ivanov, D.: Seamless mosaicing of image-based texture maps. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–6. IEEE (2007)
Pérez, P., Gangnet, M., Blake, A.: Poisson image editing. ACM Trans. Graph. (TOG) 22, 313–318 (2003). ACM
Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: exploring photo collections in 3D. ACM Trans. Graph. (TOG) 25, 835–846 (2006). ACM
Waechter, M., Moehrle, N., Goesele, M.: Let there be color! Large-scale texturing of 3D reconstructions. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 836–850. Springer, Heidelberg (2014)
Acknowledgments
We thank the editors and anonymous reviewers for their insights. Also, we thank Pengfei Wu for modifying this paper. This work is supported by NSFC under grants 61571313, funding from Sichuan Province (2014HH0048) and the Science and Technology Innovation seedling project of Sichuan (2014-046).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Shu, J., Liu, Y., Li, J., Xu, Z., Du, S. (2016). Rich and Seamless Texture Mapping to 3D Mesh Models. In: Tan, T., et al. Advances in Image and Graphics Technologies. IGTA 2016. Communications in Computer and Information Science, vol 634. Springer, Singapore. https://doi.org/10.1007/978-981-10-2260-9_9
Download citation
DOI: https://doi.org/10.1007/978-981-10-2260-9_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2259-3
Online ISBN: 978-981-10-2260-9
eBook Packages: Computer ScienceComputer Science (R0)