基于遗传算法的阴影透视形状光照方向估计

C. Chow, S. Y. Yuen
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引用次数: 1

摘要

在斜面阴影(SfS)中,光照(照明)方向对于恢复阴影图像的三维表面至关重要。另一方面,快速推进方法(FMM)是利用波传播机制重建表面的SfS算法。本文讨论了光照方向的估计问题,并将其建模为一个优化问题。其思想是在重建过程中尽量减少FMM波传播的不一致性。由于波传播的一致性是一个多模态函数,因此采用遗传算法确定光照方向。在四个未知光照方向的倾斜SfSs上进行了实验,验证了该算法的性能。
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Lighting Direction Estimation in Perspective Shape from Shading by Genetic Algorithm
In oblique shape from shading (SfS), the lighting (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 lighting 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, genetic algorithm (GA) is utilized to determine the lighting direction. Experimental results on four oblique SfSs with an unknown lighting direction are presented to demonstrate the performance of the proposed algorithm.
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