A Study in 3D-Reconstruction Using Kinect Sensor

被引:0
作者
Wan Yi [1 ]
Wang Jin [2 ]
Hu Jingwen [2 ]
Song Tiangang [1 ]
Bai Yang [2 ]
Ji Zheng [1 ]
机构
[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Sch Elect Informat, Wuhan, Peoples R China
来源
2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM) | 2012年
关键词
Kinect; Light-Coding; calibration; 3D registration; 3D reconstruction;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most of types of laser distance measuring instrument cost hundreds of thousand dollars such as Laser scanner or Depth Camera that generates depth maps of space very fast. And the handling is too complicated for non-professional users. So the utilization of 3D reconstruction is very limited. This article introduces a workflow of 3D reconstruction using a new cheaper instrument, the Microsoft Kinect. Kinect sensor can generate depth frames at the rate of 30 per second and the mean distance error can be as low as 4 millimeters and it only costs about $200. Furthermore, Microsoft offers a full set of drivers and interfaces for the using of Kinect in Windows 7 and Windows 8. These entire features make Kinect a promising 3D data source that can be used in 3D reconstruction of room sized scenes and navigation of robots.
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页数:7
相关论文
共 18 条
[1]  
[Anonymous], 2012, KINECT WINDOWS BLOG
[2]  
[Anonymous], INT S EXP ROB
[3]  
[Anonymous], P INT C COMP VIS ICC
[4]   Indexing without invariants in 3D object recognition [J].
Beis, JS ;
Lowe, DG .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1999, 21 (10) :1000-1015
[5]   A METHOD FOR REGISTRATION OF 3-D SHAPES [J].
BESL, PJ ;
MCKAY, ND .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (02) :239-256
[6]  
Curless B., 1996, Computer Graphics Proceedings. SIGGRAPH '96, P303, DOI 10.1145/237170.237269
[7]   RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY [J].
FISCHLER, MA ;
BOLLES, RC .
COMMUNICATIONS OF THE ACM, 1981, 24 (06) :381-395
[8]  
*GEOM, 2012, GEOM 3D IM METR SOFT
[9]   A four-step camera calibration procedure with implicit image correction [J].
Heikkila, J ;
Silven, O .
1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1997, :1106-1112
[10]  
Herrera D, 2011, LECT NOTES COMPUT SC, V6855, P437, DOI 10.1007/978-3-642-23678-5_52