Author Affiliations
Abstract
1 Research Center for Intelligent Chips and Devices, Zhejiang Lab, Hangzhou 311100, China
2 State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
3 ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
4 e-mail: zhudz@zhejianglab.com
5 e-mail: cfkuang@zju.edu.cn
Optical singularity is pivotal in nature and has attracted wide interest from many disciplines nowadays, including optical communication, quantum optics, and biomedical imaging. Visualizing vortex lines formed by phase singularities and fabricating chiral nanostructures using the evolution of vortex lines are of great significance. In this paper, we introduce a promising method based on two-photon polymerization direct laser writing (2PP-DLW) to record the morphology of vortex lines generated by tightly focused multi-vortex beams (MVBs) at the nanoscale. Due to Gouy phase, the singularities of the MVBs rotate around the optical axis and move towards each other when approaching the focal plane. The propagation dynamics of vortex lines are recorded by 2PP-DLW, which explicitly exhibits the evolution of the phase singularities. Additionally, the MVBs are employed to fabricate stable three-dimensional chiral nanostructures due to the spiral-forward property of the vortex line. Because of the obvious chiral features of the manufactured nanostructures, a strong vortical dichroism is observed when excited by the light carrying orbital angular momentum. A number of applications can be envisioned with these chiral nanostructures, such as optical sensing, chiral separation, and information storage.
Photonics Research
2024, 12(1): 70
作者单位
摘要
1 河北公安警察职业学院警务科研处, 河北 石家庄 050091
2 河北交通职业技术学院经济管理系, 河北 石家庄 050091
3 识途科技(广州)有限责任公司, 广东 广州 511458
根据胃镜下的肿瘤特征,利用基于加速稳健特征(SURF)的模板匹配跟踪算法对肿瘤进行跟踪,通过去除特征点的误匹配点,提高了跟踪定位精度。在基于SURF的匹配跟踪算法中,利用匹配特征点的聚类中心及包围特征点的最小圆位置,测量了每帧跟踪效果。对两组胃窥镜下病灶的视频帧进行跟踪实验,结果表明,改进的基于SURF的匹配跟踪算法具有较好的稳定性和跟踪精度。
机器视觉 加速稳健特征 模板匹配 肿瘤 跟踪 
激光与光电子学进展
2019, 56(7): 071504
Ju Cheng 1,2Jia Zhang 1,*Jian Lu 2,**Xintian Bian 1[ ... ]Jin Shi 1
Author Affiliations
Abstract
1 School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huaian 223001, China
2 School of Science, Nanjing University of Science and Technology, Nanjing 210094, China
The apatite compound Ca4La6(SiO4)4(PO4)2O2 (CLSPO) was explored as the host material for phosphors used in white light-emitting diodes (wLEDs). The crystal structure of the CLSPO host prepared by the solid-state reaction method was investigated with Rietveld refinement. The rare earth ions (Eu3+/ Tb3+/Ce3+, Tb3+/Tb3+, Mn2+) activated CLSPO phosphors were synthesized, and their photoluminescence properties, quantum yields, as well as thermal stabilities, were studied. Under near-ultraviolet excitations, the Eu3+ and Tb3+-doped CLSPO compounds exhibited red and green emissions with high luminescence efficiencies. Besides, tunable emissions from green to orange were obtained by introducing Mn2+ ions into the Tb3+-doped CLSPO samples. The results showed that the phosphors studied may have potential applications for wLEDs.
160.4760 Optical properties 230.3670 Light-emitting diodes 300.6170 Spectra 
Chinese Optics Letters
2019, 17(5): 051602
作者单位
摘要
1 燕山大学电气工程学院, 河北 秦皇岛 066004
2 中国科学院自动化研究所, 北京 100190
3 清华大学信息学院, 北京 100049
针对传统双目以及多目在处理遮挡和弱纹理区域匹配效果差、稳健性低的问题,提出了一种基于极平面图像(EPI)对复杂、精细场景进行深度重建的算法。根据EPI 特殊的线性结构,提出一种交叉检测模型,有效地计算出EPI轮廓边缘,并将指数距离度量函数和距离权重系数相结合,得到轮廓边缘的深度。对于内部平坦区域,利用求得的深度作为先验,通过先验似然扩散策略将深度扩散到整个区域。整个算法在局部进行,不但保存了精确的轮廓边缘,同时也保证了无纹理区域深度的平滑性。测试结果表明,该算法在重建速度及质量上均优于原始方法。
机器视觉 光场 深度重建 先验似然 交叉检测 
光学学报
2015, 35(7): 0715002

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