基于激光扫描的犯罪现场图像还原
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  • 英文篇名:Restore of crime scene image based on laser scan
  • 作者:左倪娜
  • 英文作者:ZUO Nina;College of Guangxi Police;
  • 关键词:激光扫描仪 ; 犯罪现场 ; 点云数据 ; 数据配准 ; 测量 ; 还原
  • 英文关键词:laser scanner;;crime scene;;point cloud data;;data registration;;measurement;;restore
  • 中文刊名:JGZZ
  • 英文刊名:Laser Journal
  • 机构:广西警察学院;
  • 出版日期:2019-06-25
  • 出版单位:激光杂志
  • 年:2019
  • 期:v.40;No.261
  • 基金:广西重点研发计划(No.桂科AB16380351);; 广西高校(No.2019KY1709)
  • 语种:中文;
  • 页:JGZZ201906028
  • 页数:6
  • CN:06
  • ISSN:50-1085/TN
  • 分类号:138-143
摘要
传统融合激光扫描和多视图影像的犯罪现场重建技术,使用相位式激光扫描仪测量犯罪现场数据,该扫描仪射程较短,适用小范围犯罪现场测量,导致犯罪现场图像还原结果不理想,提出基于激光扫描的犯罪现场图像还原方法。采用脉冲式激光扫描仪,利用相位偏移法扫描犯罪现场获取犯罪现场点云数据;去除点云数据中的异常点并进行点云配准,完成犯罪现场遮挡部分的重建;将犯罪现场点云数据视为离散二次曲面,计算激光扫描坐标与物体不同灰度点间的长度,利用激光扫描点云数据表达犯罪现场的远近景,实现犯罪现场图像还原。实验结果表明,所提方法的图像还原时间均值约为0. 8 min,图像还原的准确度高达99. 7%,可用于犯罪现场图像的高效、快速还原。
        Traditionally,the technique of reconstructing crime scene is combined with laser scanning and multiview image methods. The phase laser scanner is used to measure the crime scene data. The scanner has a short range and is suitable for small-scale crime scene measurement. The result of restore crime scene image is unsatisfactory. A method of restore crime scene image based on laser scanning is proposed. The pulse laser scanner is used to scan the crime scene to obtain the point cloud data by phase shift method. The outliers in the point cloud data are removed and the point cloud registration is carried out to reconstruct the occlusion part of the crime scene. The point cloud data of the crime scene is regarded as discrete quadric surface,and the laser scanning coordinates are calculated to be different from the object. The length of gray points is used to express the long-range and near-range of the crime scene by laser scanning point cloud data,and the image restoration of the crime scene is realized. The experimental results show that the average time of image restoration is about 0. 8 min,and the accuracy of image restoration is 99. 7%. The proposed method can be used to restore crime scene images efficiently and quickly.
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