3D Reconstruction From A Single Image Based On Shape Evolution
- https://doi.org/10.2991/icmmita-15.2015.155How to use a DOI?
- SFS; Improved Arrival Time Method; 3D Segmentation; Shape Evolution
3D reconstruction from a single image is a challenging problem. In this paper, we present an improved method for 3D reconstruction. We use improved arrival time method to solve the Hamilton-Jacobi equation which is obtained from the method of shape from shading (SFS). The concave-convex ambiguity problems occurred like with other SFS methods, so we find out the boundary of the concave-convex regions according to 3D Segmentation based on Gaussian curvature, then reconstruct the surface use the shape evolution method based on energy constraint in order to obtain the accuracy 3D shape.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qian Ma PY - 2015/11 DA - 2015/11 TI - 3D Reconstruction From A Single Image Based On Shape Evolution BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 834 EP - 839 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.155 DO - https://doi.org/10.2991/icmmita-15.2015.155 ID - Ma2015/11 ER -