Name
Title | ||
|---|---|---|
An improved genetic algorithm for three-dimensional reconstruction from a single uniform texture image. |
Abstract | ||
|---|---|---|
Three-dimensional reconstruction from a single input image is a very difficult issue, especially for the texture images. Moreover, the unknown lighting parameters also make this problem more complex. In this paper, an improved genetic algorithm has been proposed to reconstruct the 3D shape from a single texture image with similar appearances. The proposed scheme contains three main steps: first, the lighting parameters has been estimated by detecting and analyzing the intensity information of the input texture image; then, the initial surface normal, which can be used as the initial population of generic algorithm, has been calculated by combining the patch matching and stitching method; finally, the improved genetic algorithm incorporating spatial information is implemented, which can search the minimum starting from the surface normals of the neighborhood. Experiment results verified the effectiveness of the proposed method according to realistic visual-perception. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s00500-016-2348-y | Soft Comput. |
Keywords | Field | DocType |
Texture image, 3D reconstruction, Photometric stereo, Genetic algorithm | Population,Image stitching,Texture compression,Computer science,Artificial intelligence,Genetic algorithm,3D reconstruction,Computer vision,Pattern recognition,Image texture,Machine learning,Photometric stereo,Normal | Journal |
Volume | Issue | ISSN |
22 | 2 | 1433-7479 |
Citations | PageRank | References |
0 | 0.34 | 30 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yujuan Sun | 1 | 16 | 3.96 |
| Xiaofeng Zhang | 2 | 44 | 4.84 |
| Muwei Jian | 3 | 235 | 30.97 |
| Shengke Wang | 4 | 12 | 3.67 |
| Zeju Wu | 5 | 1 | 1.37 |
| Qingtang Su | 6 | 176 | 16.90 |
| beijing chen | 7 | 63 | 4.63 |