Comparative analysis of laser and simulated speckle pattern for single shot 3D reconstruction

2021 ◽  
Vol 119 (13) ◽  
pp. 131108
Author(s):  
Danish Khan ◽  
Min Young Kim
Keyword(s):  
Comparative Analysis ◽  
3D Reconstruction ◽  
Speckle Pattern ◽  
Single Shot

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.

scholarly journals Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1094 ◽  
Author(s):  
Feifei Gu ◽  
Zhan Song ◽  
Zilong Zhao
Keyword(s):  
Stereo Matching ◽  
Speckle Pattern ◽  
Structured Light ◽  
Optical Element ◽  
Depth Map ◽  
Point Clouds ◽  
Calibration Method ◽  
Acquisition Time ◽  
Single Shot ◽  
Dynamic Reconstruction

Structured light (SL) has a trade-off between acquisition time and spatial resolution. Temporally coded SL can produce a 3D reconstruction with high density, yet it is not applicable to dynamic reconstruction. On the contrary, spatially coded SL works with a single shot, but it can only achieve sparse reconstruction. This paper aims to achieve accurate 3D dense and dynamic reconstruction at the same time. A speckle-based SL sensor is presented, which consists of two cameras and a diffractive optical element (DOE) projector. The two cameras record images synchronously. First, a speckle pattern was elaborately designed and projected. Second, a high-accuracy calibration method was proposed to calibrate the system; meanwhile, the stereo images were accurately aligned by developing an optimized epipolar rectification algorithm. Then, an improved semi-global matching (SGM) algorithm was proposed to improve the correctness of the stereo matching, through which a high-quality depth map was achieved. Finally, dense point clouds could be recovered from the depth map. The DOE projector was designed with a size of 8 mm × 8 mm. The baseline between stereo cameras was controlled to be below 50 mm. Experimental results validated the effectiveness of the proposed algorithm. Compared with some other single-shot 3D systems, our system displayed a better performance. At close range, such as 0.4 m, our system could achieve submillimeter accuracy.

Single-Shot Colored Speckle Pattern for High Accuracy Depth Sensing

2019 ◽  
Vol 19 (17) ◽  
pp. 7591-7597 ◽  
Author(s):  
Boxun Fu ◽  
Fu Li ◽  
Tianjiao Zhang ◽  
Jingsong Jiang ◽  
Quanlu Li ◽  
...  
Keyword(s):  
Speckle Pattern ◽  
High Accuracy ◽  
Single Shot ◽  
Depth Sensing

scholarly journals A Comparative Analysis between Active and Passive Techniques for Underwater 3D Reconstruction of Close-Range Objects

Sensors ◽  
2013 ◽  
Vol 13 (8) ◽  
pp. 11007-11031 ◽  
Author(s):  
Gianfranco Bianco ◽  
Alessandro Gallo ◽  
Fabio Bruno ◽  
Maurizio Muzzupappa
Keyword(s):  
Comparative Analysis ◽  
3D Reconstruction ◽  
Close Range ◽  
Passive Techniques

P‐49: Student Poster: Efficient Direct‐Block‐Address Encoding for Single‐Shot‐Based 3D Reconstruction

2021 ◽  
Vol 52 (1) ◽  
pp. 1250-1253
Author(s):  
Sina Farsangi ◽  
Mohamed A. Naiel ◽  
Mark Lamm ◽  
Paul Fieguth
Keyword(s):  
3D Reconstruction ◽  
Single Shot

A Novel Approach for Delaunay 3D Reconstruction with a Comparative Analysis in the Light of Applications

2001 ◽  
Vol 20 (2) ◽  
pp. 161-174 ◽  
Author(s):  
L. Nonato ◽  
R. Minghim ◽  
M. C. F. Oliveira ◽  
G. Tavares
Keyword(s):  
Comparative Analysis ◽  
3D Reconstruction ◽  
Novel Approach
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