3D Reconstruction From A Single Image Based On Shape Evolution

DOI

10.2991/icmmita-15.2015.155How to use a DOI?

Keywords

SFS; Improved Arrival Time Method; 3D Segmentation; Shape Evolution

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/icmmita-15.2015.155
ID  - Ma2015/11
ER  -