液晶与显示2016，Vol.31Issue(9)：889-896,8.DOI:10.3788/YJYXS20163109.0889
三维枪弹痕点云数据处理及特征提取研究
Processing and feature extraction for three-dimensional bullet point cloud data
摘要
Abstract
In order to solve the problem of bullet marks image depth feature information loss in traditional al-gorithm,we propose a three-dimensional bullet point cloud image feature extraction algorithm.The feature points are extracted from the local extremal points according to the change of ridge’s slope.And the linear fit-ting method is utilized to construct the triangle in order to calculate the characteristic parameters and define the similar range of the characteristic parameters.Finally,the unknown bullet is discriminated through the similar range to ensure the consistency between the bullet and the gun.The experimental results show that correct recognition rate of bullet comparison reaches more than 90% under the condition of existing sample, and data processing of a single set of bullet data spends 32.7 s.The proposed algorithm satisfies the bullet comparison demand,provides credible basis for the following bullet comparison and has certain theory value and practical significance.关键词
枪弹痕/深度特征信息/点云/斜率/相似范围Key words
bullet marks/depth feature information/point cloud/slope/similar range分类
信息技术与安全科学引用本文复制引用
马鑫,魏仲慧,何昕,于国栋..三维枪弹痕点云数据处理及特征提取研究[J].液晶与显示,2016,31(9):889-896,8.基金项目
国家自然科学基金资助项目(No．60878052)Supported by National Natural Science Foundation of China(No．60878052) （No．60878052）
