A fast Reconstruction Method of 3D Object Point Cloud Based on Realsense D435

被引:0
作者
Ma, Wenyuan [1 ]
Yang, Kehan [2 ]
机构
[1] Beijing Univ Chem Technol, Coll Int Educ, Beijing, Peoples R China
[2] Univ Detroit Mercy, Coll Engn & Sci, Detroit, MI 48221 USA
来源
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词
3D Reconstruction; Depth Camera; point cloud; manually feature points;
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
In order to achieve the fast and effective 3D reconstruction, this paper proposes a method of 3D reconstruction system based on depth camera Realsense D435. On one hand, as the traditional methods in extracting feature points have some difficulties in distinguishing the feature points on texture-less objects, this paper adopts a special method that designs the feature points independently, with use the cheap deep camera achieving the 3D reconstruction based on the manually feature points. On the other hand, this paper adopt a global registration strategy to reduce the phenomenon of error accumulation.
引用
收藏
页码:6650 / 6656
页数:7
相关论文
共 12 条
[1]  
[Anonymous], 2011, KINECTFUSION REAL TI
[2]  
Barrow H.G., ARTIFICIAL INTELLIGE, V17, P75
[3]   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
[4]  
Fu Jin-wei, SURVEYING MAPPING SC
[5]  
Gopinathan A, 2011, IEEE INFOCOM SER, P3020, DOI 10.1109/INFCOM.2011.5935145
[6]  
Henry P, INT J ROBOTICS RES, V31, P647
[7]  
Li Qingde, COMPUTERS MATH APPL, V40, P1171
[8]  
Liu Dong-sheng, 2020, OPTICAL PRECISION EN, V28
[9]  
Peng Qun-ye, 2018, ELECTROOPTICAL CONTR, V25, P62
[10]  
Peng Qun-ye, 2018, ELECTROOPTICAL CONTR, V25, P53