Forensic 3D scene reconstruction

被引:0
|
作者
Little, CQ [1 ]
Small, DE [1 ]
Peters, RR [1 ]
Rigdon, JB [1 ]
机构
[1] Sandia Natl Labs, Livermore, CA 94550 USA
关键词
D O I
10.1117/12.384885
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traditionally law enforcement agencies have relied on basic measurement and imaging tools, such as tape measures and cameras, in recording a crime scene. A disadvantage of these methods is that they are slow and cumbersome. The development of a portable system that can rapidly record a crime scene with current camera imaging, 3D geometric surface maps, and contribute quantitative measurements such as accurate relative positioning of crime scene objects, would be an asset to law enforcement agents in collecting and recording significant forensic data. The purpose of this project is to develop a fieldable prototype of a fast, accurate, 3D measurement and imaging system that would support law enforcement agents to quickly document and accurately record a crime scene.
引用
收藏
页码:67 / 73
页数:7
相关论文
共 50 条
  • [1] 3D crime scene reconstruction
    Buck, Ursula
    [J]. FORENSIC SCIENCE INTERNATIONAL, 2019, 304
  • [2] 3D Forensic Crime Scene Reconstruction Involving Immersive Technology: A Systematic Literature Review
    Maneli, Mfundo A.
    Isafiade, Omowunmi E.
    [J]. IEEE ACCESS, 2022, 10 : 88821 - 88857
  • [3] 3D Scene Reconstruction and Object Recognition for Indoor Scene
    Shen, Yangping
    Manabe, Yoshitsugu
    Yata, Noriko
    [J]. INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019, 2019, 11049
  • [4] 3D scene reconstruction using Kinect
    [J]. Morana, M. (marco.morana@unipa.it), 1600, Springer Verlag (260):
  • [5] Dynamic 3D Scene Reconstruction and Enhancement
    Jiang, Cansen
    Fougerolle, Yohan
    Fofi, David
    Demonceaux, Cedric
    [J]. IMAGE ANALYSIS AND PROCESSING,(ICIAP 2017), PT I, 2017, 10484 : 518 - 529
  • [6] A stochastic algorithm for 3D scene segmentation and reconstruction
    Han, F
    Tu, Z
    Zhu, SC
    [J]. COMPUTER VISION - ECCV 2002 PT III, 2002, 2352 : 502 - 516
  • [7] A batch/recursive algorithm for 3D scene reconstruction
    McLauchlan, PF
    [J]. IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, VOL II, 2000, : 738 - 743
  • [8] 3D SCENE RECONSTRUCTION FROM RGB IMAGES
    Rotaru, Razvan-Paul
    Gradinaru, Alexandru
    Moldoveanu, Florica
    [J]. UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2024, 86 (02): : 101 - 112
  • [9] Application of SIFT Algorithm in 3D Scene Reconstruction
    Zhang, Baofeng
    Li, Jialu
    Zhang, Xiaoling
    [J]. SUSTAINABLE DEVELOPMENT OF NATURAL RESOURCES, PTS 1-3, 2013, 616-618 : 1956 - 1960
  • [10] On Camera Pose Estimation for 3D Scene Reconstruction
    Reji, Athul Thaliyachira
    Jha, Shashi Shekhar
    Singla, Ekta
    [J]. CODS-COMAD 2021: PROCEEDINGS OF THE 3RD ACM INDIA JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE & MANAGEMENT OF DATA (8TH ACM IKDD CODS & 26TH COMAD), 2021, : 243 - 247