A solution to illumination direction estimation of a shaded image : Genetic algorithm
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1717-1730 |
| Journal / Publication | Image and Vision Computing |
| Volume | 28 |
| Issue number | 12 |
| Publication status | Published - Dec 2010 |
Link(s)
Abstract
In oblique shape from shading (SfS), the illumination direction is essential for recovering the 3D surface of a shaded image. On the other hand, fast marching methods (FMM) are SfS algorithms that use the mechanism of wave propagation to reconstruct the surface. In this paper, the estimation of illumination direction is addressed and we model it as an optimization problem. The idea is to minimize the inconsistency of wave propagation of FMM during the reconstruction. As the consistency of wave propagation is a multi-modal function of illumination direction, genetic algorithm (GA) is utilized. The proposed algorithm is examined on four synthetic models and a real world object. The experimental results show that the proposed algorithm is superior to benchmark methods. © 2010 Elsevier B.V. All rights reserved.
Research Area(s)
- Fast marching method, Genetic algorithm, Illumination direction estimation, Shape from shading
Citation Format(s)
A solution to illumination direction estimation of a shaded image: Genetic algorithm. / Chow, Chi Kin; Yuen, Shiu Yin.
In: Image and Vision Computing, Vol. 28, No. 12, 12.2010, p. 1717-1730.
In: Image and Vision Computing, Vol. 28, No. 12, 12.2010, p. 1717-1730.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
