3D reconstruction from structured light field by Fourier transformation profilometry

2019 ◽  
Author(s):  
Ping Zhou ◽  
Yuting Zhang ◽  
Yunlei Yu ◽  
Weijia Cai ◽  
Guangquan Zhou
Keyword(s):  
3D Reconstruction ◽  
Fourier Transformation ◽  
Light Field ◽  
Structured Light

scholarly journals Ray calibration and phase mapping for structured-light-field 3D reconstruction

2018 ◽  
Vol 26 (6) ◽  
pp. 7598 ◽  
Author(s):  
Zewei Cai ◽  
Xiaoli Liu ◽  
Xiang Peng ◽  
Bruce Z. Gao
Keyword(s):  
3D Reconstruction ◽  
Light Field ◽  
Structured Light ◽  
Phase Mapping

3D reconstruction of structured light field based onpoint cloud adaptive repair for high-reflective surface

2021 ◽  
Author(s):  
Wei Feng ◽  
Tong Qu ◽  
Junhui Gao ◽  
HENGHUI WANG ◽  
xiu Li ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Light Field ◽  
Structured Light ◽  
Reflective Surface

scholarly journals 3D Reconstruction with Single-Shot Structured Light RGB Line Pattern

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4819
Author(s):  
Yikang Li ◽  
Zhenzhou Wang
Keyword(s):  
3D Reconstruction ◽  
Moving Objects ◽  
Structured Light ◽  
Color Space ◽  
Reconstruction Technique ◽  
Single Shot ◽  
Line Pattern ◽  
Hsv Color Space ◽  
Phase Map ◽  
Line Segmentation

Single-shot 3D reconstruction technique is very important for measuring moving and deforming objects. After many decades of study, a great number of interesting single-shot techniques have been proposed, yet the problem remains open. In this paper, a new approach is proposed to reconstruct deforming and moving objects with the structured light RGB line pattern. The structured light RGB line pattern is coded using parallel red, green, and blue lines with equal intervals to facilitate line segmentation and line indexing. A slope difference distribution (SDD)-based image segmentation method is proposed to segment the lines robustly in the HSV color space. A method of exclusion is proposed to index the red lines, the green lines, and the blue lines respectively and robustly. The indexed lines in different colors are fused to obtain a phase map for 3D depth calculation. The quantitative accuracies of measuring a calibration grid and a ball achieved by the proposed approach are 0.46 and 0.24 mm, respectively, which are significantly lower than those achieved by the compared state-of-the-art single-shot techniques.

3D reconstruction and simulation for raceway groove of bearings based on structured light

2006 ◽  
Author(s):  
Qinghua Wu ◽  
Wei Li ◽  
Wenjun Wu ◽  
Ming Zhong ◽  
Tao He ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Structured Light

Fast 3D reconstruction of dental cast model based on structured light

2018 ◽  
Vol 14 (6) ◽  
pp. 457-460 ◽  
Author(s):  
Li-mei Song ◽  
Wen-wei Lin ◽  
Yan-gang Yang ◽  
Xin-jun Zhu ◽  
Qing-hua Guo ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Structured Light ◽  
Model Based ◽  
Cast Model ◽  
Dental Cast

Use of structured light in 3D reconstruction oftransparent objects

2022 ◽  
Author(s):  
Haiyun Guo ◽  
Haowen Zhou ◽  
Partha Banerjee
Keyword(s):  
3D Reconstruction ◽  
Structured Light

Generation and Application of Fiber-Based Structured Light Field

2019 ◽  
Vol 39 (1) ◽  
pp. 0126003 ◽  
Author(s):  
张文定 Zhang Wending ◽  
李鑫 Li Xin ◽  
白家浩 Bai Jiahao ◽  
张录 Zhang Lu ◽  
梅霆 Mei Ting ◽  
...  
Keyword(s):  
Light Field ◽  
Structured Light

Generation Methods for Complex Vortex Structured Light Field

2020 ◽  
Vol 47 (5) ◽  
pp. 0500006
Author(s):  
柳强 Liu Qiang ◽  
潘婧 Pan Jing ◽  
万震松 Wan Zhensong ◽  
申艺杰 Shen Yijie ◽  
张恒康 Zhang Hengkang ◽  
...  
Keyword(s):  
Light Field ◽  
Structured Light

3D reconstruction of deep-hole inner surface using structured light

2018 ◽  
Vol 47 (11) ◽  
pp. 1117004 ◽  
Author(s):  
丁 超 Ding Chao ◽  
唐力伟 Tang Liwei ◽  
曹立军 Cao Lijun ◽  
邵新杰 Shao Xinjie ◽  
邓士杰 Deng Shijie
Keyword(s):  
3D Reconstruction ◽  
Structured Light ◽  
Deep Hole ◽  
Inner Surface
Sign in / Sign up

Export Citation Format

Share Document