Single-Shot Depth Sensing With Pseudo Two-Dimensional Sequence Coded Discrete Binary Pattern

Fu, Lihua; Shang, Xudong; Tao, Qinglong; Zhang, Tianjiao; Shi, Guangming; Niu, Yi

doi:10.1109/jsen.2021.3061146

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…There are many ways to optimize structured light decoding, such as stacking patterns to increase the characteristics of patterns [ 29 , 30 ], considering the characteristics of patterns from multiple angles [ 31 , 32 ], and using deep learning methods [ 33 , 34 ]. We take into account the characteristics of the pattern itself and optimize it in combination with image processing.…”

Section: Resultsmentioning

confidence: 99%

Calibration of a Catadioptric System and 3D Reconstruction Based on Surface Structured Light

Lv²,

Ai³

et al. 2022

Sensors

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In response to the problem of the small field of vision in 3D reconstruction, a 3D reconstruction system based on a catadioptric camera and projector was built by introducing a traditional camera to calibrate the catadioptric camera and projector system. Firstly, the intrinsic parameters of the camera and the traditional camera are calibrated separately. Then, the calibration of the projection system is accomplished by the traditional camera. Secondly, the coordinate system is introduced to calculate, respectively, the position of the catadioptric camera and projector in the coordinate system, and the position relationship between the coordinate systems of the catadioptric camera and the projector is obtained. Finally, the projector is used to project the structured light fringe to realize the reconstruction using a catadioptric camera. The experimental results show that the reconstruction error is 0.75 mm and the relative error is 0.0068 for a target of about 1 m. The calibration method and reconstruction method proposed in this paper can guarantee the ideal geometric reconstruction accuracy.

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Section: Resultsmentioning

confidence: 99%

Calibration of a Catadioptric System and 3D Reconstruction Based on Surface Structured Light

Lv²,

Ai³

et al. 2022

Sensors

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“…Using our system, Table 5 shows the measured resolution obtained and the area covered on a plane surface between 40 and 250 cm depths. We also compared the measured resolution with the techniques proposed by researchers Yin [40,41], Nguyen [15], Ahsan [33], Albiter [2,52], Chen [36,47], F. Li [37], Wijenayake [38], Zhou [55], and Bin Liu [21]. Our experimental setup and projector achieved the resolutions mentioned in Table 5.…”

Section: Comparison Of Measured Resolutionmentioning

confidence: 89%

“…The main principle of spatial codification techniques is to ensure the distinctiveness of the codeword at any location in the pattern, and that location is determined from the surrounding points. Examples of the spatial neighborhood are the patterns based on nonformal coding [23,28], the De Bruijn sequence [29][30][31][32], pseudo-random sequences (PRSs) or M-arrays [2,[33][34][35][36][37][38], and speckle projection techniques [39][40][41]. The spatial coding scheme has the advantage that 3D measurements can be achieved with a single projection and a single capture image.…”

Section: Related Workmentioning

confidence: 99%

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Single-Shot, Pixel-Encoded Strip Patterns for High-Resolution 3D Measurement

Elahi,

Zhu,

et al. 2023

Photonics

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In this research, we combined two distinct, structured light methods, the single-shot pseudo-random sequence-based approach and the time-multiplexing stripe indexing method. As a result, the measurement resolution of the single-shot, spatially encoded, pseudo-random sequence-based method improved significantly. Since the time-multiplexed stripe-indexed-based techniques have a higher measurement resolution, we used varying stripes to enhance the measurement resolution of the pseudo-random sequence-based approaches. We suggested a multi-resolution 3D measurement system that consisted of horizontal and vertical stripes with pixel sizes ranging from 8 × 8 to 16 × 16. We used robust pseudo-random sequences (M-arrays) to controllably distribute various stripes in a pattern. Since single-shape primitive characters only contribute one feature point to the projection pattern, we used multiple stripes instead of single-shape primitive symbols. However, numerous stripes will contribute multiple feature points. The single character-based design transforms into an increased featured size pattern when several stripes are employed. Hence, the projection pattern contains a much higher number of feature points. So, we obtained a high-resolution measurement. Each stripe in the captured image is located using adaptive grid adjustment and stripe indexing techniques. The triangulation principle is used to measure 3D.

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Grid-Index-Based Three-Dimensional Profilometry

Ahsan,

Zhu,

et al. 2024

Coded Optical Imaging

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Single-Shot Depth Sensing With Pseudo Two-Dimensional Sequence Coded Discrete Binary Pattern

Cited by 8 publications

References 22 publications

Calibration of a Catadioptric System and 3D Reconstruction Based on Surface Structured Light

Calibration of a Catadioptric System and 3D Reconstruction Based on Surface Structured Light

Single-Shot, Pixel-Encoded Strip Patterns for High-Resolution 3D Measurement

Grid-Index-Based Three-Dimensional Profilometry

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