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基于视觉传达技术的激光三维图像虚拟重建方法

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为了提升激光三维图像虚拟重建效果,提出了基于视觉传达技术的激光三维图像虚拟重建方法。获取激光三维图像的纹理特征值,采集到激光三维图像,提取激光三维图像重建特征;融合频率域特征和纹理特征,得到激光三维图像多特征数据集以及激光三维图像多特征数据集内坏特征,设计多特征融合的步骤;根据多特征融合结果,得到三维特定激光三维图像模型,实现激光三维图像虚拟重建结果。实验结果证明:该系统可有效解决了激光三维图像重建难题,当遮挡比例为18%时,尺度不变深度误差值与平均角度误差值均达到最大,最大值均未超过设置阈值,本方法结构相似度在90%以上,重建精度较高,可以实现激光三维图像高精度虚拟重建。
Virtual reconstruction method of laser three-dimensional image based on visual communication technology
In order to improve the virtual reconstruction effect of laser 3D images,a laser 3D image virtual recon-struction method based on visual communication technology is proposed.Obtain texture feature values of laser 3D ima-ges,collect laser 3D images,and extract laser 3D image reconstruction features;Fusing frequency domain features and texture features to obtain a laser 3D image multi feature dataset and bad features within the laser 3D image multi feature dataset,and designing steps for multi feature fusion;Based on the results of multi feature fusion,a three-dimensional specific laser 3D image model is obtained to achieve virtual reconstruction of laser 3D images.The experimental results show that the system can effectively solve the problem of laser 3D image reconstruction.When the occlusion ratio is 18%,the scale invariant depth error value and average angle error value both reach the maximum,and the maximum value does not exceed the set threshold.The structural similarity of the method in this paper is over 90%,and the re-construction accuracy is high,which can achieve high-precision virtual reconstruction of laser 3D images.

laser 3D imagesvirtual reconstructiondiscrete cosine transformreconstruction error

高越飞、兰慧红

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南宁师范大学,南宁 530023

广西警察学院,南宁 530028

激光三维图像 虚拟重建 离散余弦变换 重建误差

广西高校中青年教师科研基础能力提升项目

2021KY1935

2024

激光杂志
重庆市光学机械研究所

激光杂志

CSTPCD北大核心
影响因子:0.74
ISSN:0253-2743
年,卷(期):2024.45(7)
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