Name
Abstract | ||
|---|---|---|
In this paper, we proposed a method to enlarge the recovered surface normal from photometric stereo method using image stitching. We used the laser triangulation to provide the actual height as the reference to reduce the low-frequency noise from photometric stereo. The Grid-based Motion Statistics (GMS) algorithm was used to obtain the Homography matrix. We employed and tested two algorithms for stitching: graph cut and image quilting. Two splice schemes were used: post-stitching and pre-stitching. The proposed method and comparison of two schemes were tested by experiments using captured surfaces with our built devices. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.procs.2019.01.245 | Procedia Computer Science |
Keywords | Field | DocType |
Photometric stereo,Laser triangulation,Graph cut,Image quilting,Texture synthesis | Cut,Computer vision,Data mining,Image stitching,Laser triangulation,Computer science,Homography,Artificial intelligence,Normal,Photometric stereo,Grid | Conference |
Volume | ISSN | Citations |
147 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tingting Zhu | 1 | 7 | 4.14 |
| Lin Qi | 2 | 27 | 8.68 |
| Hao Fan | 3 | 0 | 3.04 |
| Junyu Dong | 4 | 393 | 77.68 |