节点文献
Optimized dithering technique in frequency domain for high-quality three-dimensional depth data acquisition
【摘要】 On the basis of the objective functions, dithering optimization techniques can be divided into the intensity-based optimization technique and the phase-based optimization technique. However, both types of techniques are spatial-domain optimization techniques, while their measurement performances are essentially determined by the harmonic components in the frequency domain. In this paper, a novel genetic optimization technique in the frequency domain is proposed for highquality fringe generation. In addition, to handle the time-consuming difficulty of genetic algorithm(GA), we first optimize a binary patch, then join the optimal binary patches together according to periodicity and symmetry so as to generate a full-size pattern. It is verified that the proposed technique can significantly enhance the measured performance and ensure the robustness to various amounts of defocusing.
【Abstract】 On the basis of the objective functions, dithering optimization techniques can be divided into the intensity-based optimization technique and the phase-based optimization technique. However, both types of techniques are spatial-domain optimization techniques, while their measurement performances are essentially determined by the harmonic components in the frequency domain. In this paper, a novel genetic optimization technique in the frequency domain is proposed for highquality fringe generation. In addition, to handle the time-consuming difficulty of genetic algorithm(GA), we first optimize a binary patch, then join the optimal binary patches together according to periodicity and symmetry so as to generate a full-size pattern. It is verified that the proposed technique can significantly enhance the measured performance and ensure the robustness to various amounts of defocusing.
【Key words】 fringe generation; genetic algorithm; frequency domain; 3D shape measurement;
- 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2019年08期
- 【分类号】TP274.2
- 【被引频次】2
- 【下载频次】29