Diamond Inclusion Reconstruction
Zijian Yuan , Yanzhi Song , Falai Chen , Zhouwang Yang
Communications in Mathematics and Statistics ›› 2020, Vol. 8 ›› Issue (3) : 341 -359.
Diamond Inclusion Reconstruction
In this paper, we make an improvement on the conventional visual hull reconstruction method that runs on a single consumer graphics card. The target application is a high-precision diamond inclusion reconstruction system. One major contribution of this paper is an evaluation system of voxels for high-precision reconstruction. In contrast to existing approaches, it allows us to reconstruct the thin structure of the diamond inclusion. Based on this, we obtain a significant improvement in reconstruction precision, especially for thin inclusion.
3D reconstruction / Voxel model / CUDA
| [1] |
Franco, J.S.. Boyer, E.: Exact polyhedral visual hulls. In: British Machine Vision Conference (BMVC’03). Vol. 1. (2003) |
| [2] |
|
| [3] |
Ladikos, A., Benhimane, S., Navab, N.: Efficient visual hull computation for real-time 3D reconstruction using CUDA. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW’08, IEEE, New York (2008) |
| [4] |
Liu, S., Cooper, D.B.: A complete statistical inverse ray tracing approach to multi-view stereo. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 913-920. IEEE, New York (2011) |
| [5] |
Loop, C., Zhang, C., Zhang, Z.: Real-time high-resolution sparse voxelization with application to image-based modeling. In: Proceedings of the 5th High-Performance Graphics Conference. ACM, New York (2013) |
| [6] |
Matusik, W., et al.: Image-based visual hulls. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques. ACM Press, New York (2000) |
| [7] |
|
/
| 〈 |
|
〉 |