{"title":"自适应精简点云改进预处理优化三维重建算法","authors":"胡志新 Hu Zhixin, 曹刘洋 Cao Liuyang, 裴东芳 Pei Dongfang, 梅紫俊 Mei Zijun","doi":"10.3788/lop223279","DOIUrl":"https://doi.org/10.3788/lop223279","url":null,"abstract":"针对初始点云离群点噪声大、冗余性高导致三维重建效率低、重建曲面表面粗糙等问题，提出一种自适应精简点云改进预处理算法。首先使用统计滤波消除离群点噪声，并在基于体素重心邻近特征点下采样中引入双曲正切函数，在保持点云特征不变的情况下精简点云数据；然后建立移动最小二乘法拟合函数，确定其二次基函数和高斯权函数，完成点云数据平滑优化；最后使用投影三角化算法完成点云曲面重建。实验结果表明，所提算法在有效去除离群点的同时，还能精简点云数据、提升曲面重建效率，且重建后的模型表面光滑、孔洞减少。","PeriodicalId":51502,"journal":{"name":"激光与光电子学进展","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135659398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"激光功率对Fe-TiC复合涂层组织及硬度的影响","authors":"李天澍 Li Tianshu, 邓德伟 Deng Dewei, 李振华 Li Zhenhua, 胡冰 Hu Bing, 孙奇 Sun Qi, 张勇 Zhang Yong","doi":"10.3788/lop221435","DOIUrl":"https://doi.org/10.3788/lop221435","url":null,"abstract":"为增强304不锈钢表面性能，利用激光熔覆技术在其表面制备了TiC颗粒增强Fe基复合涂层，研究了激光功率对涂层几何特征、组织特征及硬度的影响规律和原因，引入灰关联分析综合表征熔覆层的组织特征，并推测出激光熔覆过程中TiC颗粒的熔解机制。结果表明，随激光功率的增加，熔覆层高度、气孔率、未熔TiC颗粒含量降低，宽度、深度、稀释率、析出TiC的二次枝晶臂间距增加，析出TiC含量先增加后降低、基体的二次枝晶臂间距先降低后升高且在1800 W时分别达到最高和最低。当激光功率为1800 W时，熔覆层表面成形良好，其组织特征均衡发展且灰关联度达到最大，平均硬度为801.5 HV0.5，达到基体的4.5倍左右。另外，TiC颗粒在激光熔覆中共有两种熔解机制，其特征分别为由外向内和整体分解，两种机制共同作用导致TiC颗粒的完全熔解。","PeriodicalId":51502,"journal":{"name":"激光与光电子学进展","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135659429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"基于深度学习的单光子非视域成像泊松降噪","authors":"涂敏 Tu Min, 鄢秋荣 Yan Qiurong, 郑勇健 Zheng Yongjian, 熊贤成 Xiong Xiancheng, 邹荃 Zou Quan, 戴钱玲 Dai Qianling, 卢孝强 Lu Xiaoqiang","doi":"10.3788/lop222969","DOIUrl":"https://doi.org/10.3788/lop222969","url":null,"abstract":"在非视域成像场景中，有效的回波光子大量减少，泊松噪声对非视域成像的质量影响较大。传统图像泊松降噪算法存在迭代时间长、模式固定和手动设置参数等问题。为提高非视域成像质量，设计一种基于深度学习的单光子非视域成像泊松降噪方法。为解决训练样本不足的问题，利用几何光学近似和蒙特卡罗方法对非视域场景下的光子运动轨迹进行追踪建模，对非视域成像过程进行仿真，利用仿真数据重建的泊松噪声图像制作数据集。设计基于注意力机制的特征增强降噪网络（AEF-Net），利用仿真数据对网络进行优化训练。最后，搭建一套非视域成像系统对网络的泊松降噪性能进行验证。实验结果表明所提AEF-Net去除非视域场景下的泊松噪声效果优于传统降噪算法。","PeriodicalId":51502,"journal":{"name":"激光与光电子学进展","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135662354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：