Landmark-based Stereo Vision

被引:0
作者
Garibotto, GB [1 ]
Corvi, M [1 ]
机构
[1] Elsag Spa, I-16154 Genoa, Italy
来源
IMAGE ANALYSIS AND PROCESSING - ICIAP 2005, PROCEEDINGS | 2005年 / 3617卷
关键词
Computer Vision; camera calibration; 3D stereovision; perspective invariants;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper refers an industrial solution to 3D measurements to be used in security application. The basic assumption of the proposed solution is the visibility of a 3D reference system in the imaged scene. The corresponding vanishing points are used as stereo point pairs at infinity, to compute the rotation between the two stereo views. To achieve a metric reconstruction, the proposed approach relies on the presence in the scene of an artificial landmark having an orthogonal triangular shape with sides of one meter length.. Reflecting cylinders are positioned at the corners and along the sides at equally spaced distances. They represent the initial stereo correspondence for system calibration. This approach has been implemented in a prototype product for the planar reconstruction in case of car accidents using a digital camera. The software application provides a simple and user-friendly interface to the process. The measure errors are always within 2% (with a 4Mp camera).
引用
收藏
页码:802 / 809
页数:8
相关论文
共 7 条
  • [1] [Anonymous], 1996, 3 DIMENSIONAL COMPUT
  • [2] Bas EK, 1997, IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, P362, DOI 10.1109/ITSC.1997.660502
  • [3] USING VANISHING POINTS FOR CAMERA CALIBRATION
    CAPRILE, B
    TORRE, V
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1990, 4 (02) : 127 - 139
  • [4] Cipolla R, 1999, IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS, PROCEEDINGS VOL 1, P25, DOI 10.1109/MMCS.1999.779115
  • [5] GALVIN B, 2004, EVIDENCE TECH MA SEP
  • [6] GARIBOTTO G, 2003, P INT C IM AN PROC I
  • [7] The development and comparison of robust methods for estimating the Fundamental Matrix
    Torr, PHS
    Murray, DW
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1997, 24 (03) : 271 - 300