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15 pages, 13683 KB

Open AccessArticle

A 3D Reconstruction Method Based on Homogeneous De Bruijn-Encoded Structured Light

by Weimin Li and Songlin Li

Photonics 2024, 11(5), 458; https://doi.org/10.3390/photonics11050458 - 14 May 2024

Cited by 2 | Viewed by 2213

Structured light three-dimensional reconstruction is one of the important methods for non-contact acquisition of sparse texture object surfaces. Variations in ambient illumination and disparities in object surface reflectance can significantly impact the fidelity of three-dimensional reconstruction, introducing considerable inaccuracies. We introduce a robust method for color speckle structured light encoding, which is based on a variant of the De Bruijn sequence, termed the Homogeneous De Bruijn Sequence. This innovative approach enhances the reliability and accuracy of structured light techniques for three-dimensional reconstruction by utilizing the distinctive characteristics of Homogeneous De Bruijn Sequences. Through a pruning process applied to the De Bruijn sequence, a structured light pattern with seven distinct color patches is generated. This approach ensures a more equitable distribution of speckle information. Full article

(This article belongs to the Section Optical Interaction Science)

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18 pages, 5838 KB

Open AccessArticle

Color Structured Light Stripe Edge Detection Method Based on Generative Adversarial Networks

by Dieuthuy Pham, Minhtuan Ha and Changyan Xiao

Appl. Sci. 2023, 13(1), 198; https://doi.org/10.3390/app13010198 - 23 Dec 2022

Cited by 2 | Viewed by 2168

Abstract

The one-shot structured light method using a color stripe pattern can provide a dense point cloud in a short time. However, the influence of noise and the complex characteristics of scenes still make the task of detecting the color stripe edges in deformed pattern images difficult. To overcome these challenges, a color structured light stripe edge detection method based on generative adversarial networks, which is named horizontal elastomeric attention residual Unet-based GAN (HEAR-GAN), is proposed in this paper. Additionally, a De Bruijn sequence-based color stripe pattern and a multi-slit binary pattern are designed. In our dataset, selecting the multi-slit pattern images as ground-truth images not only reduces the labor of manual annotation but also enhances the quality of the training set. With the proposed network, our method converts the task of detecting edges in color stripe pattern images into detecting centerlines in curved line images. The experimental results show that the proposed method can overcome the above challenges, and thus, most of the edges in the color stripe pattern images are detected. In addition, the comparison results demonstrate that our method can achieve a higher performance of color stripe segmentation with higher pixel location accuracy than other edge detection methods. Full article

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15 pages, 3935 KB

Open AccessArticle

Single-Shot Dense Depth Sensing with Color Sequence Coded Fringe Pattern

by Fu Li, Baoyu Zhang, Guangming Shi, Yi Niu, Ruodai Li, Lili Yang and Xuemei Xie

Sensors 2017, 17(11), 2558; https://doi.org/10.3390/s17112558 - 6 Nov 2017

Cited by 9 | Viewed by 4821

Abstract

A single-shot structured light method is widely used to acquire dense and accurate depth maps for dynamic scenes. In this paper, we propose a color sequence coded fringe depth sensing method. To overcome the phase unwrapping problem encountered in phase-based methods, the color-coded sequence information is embedded into the phase information. We adopt the color-encoded De Bruijn sequence to denote the period of the phase information and assign the sequence into two channels of the pattern, while the third channel is used to code the phase information. Benefiting from this coding strategy, the phase information distributed in multiple channels can improve the quality of the phase intensity by channel overlay, which results in precise phase estimation. Meanwhile, the wrapped phase period assists the sequence decoding to obtain a precise period order. To evaluate the performance of the proposed method, an experimental platform is established. Quantitative and qualitative experiments demonstrate that the proposed method generates a higher precision depth, as compared to a Kinect and larger resolution ToF (Time of Flight) camera. Full article

(This article belongs to the Special Issue Imaging Depth Sensors—Sensors, Algorithms and Applications)

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18 pages, 1466 KB

Open AccessArticle

A Coded Structured Light System Based on Primary Color Stripe Projection and Monochrome Imaging

by Sandro Barone, Alessandro Paoli and Armando Viviano Razionale

Sensors 2013, 13(10), 13802-13819; https://doi.org/10.3390/s131013802 - 14 Oct 2013

Cited by 21 | Viewed by 10480

Abstract

Coded Structured Light techniques represent one of the most attractive research areas within the field of optical metrology. The coding procedures are typically based on projecting either a single pattern or a temporal sequence of patterns to provide 3D surface data. In this context, multi-slit or stripe colored patterns may be used with the aim of reducing the number of projected images. However, color imaging sensors require the use of calibration procedures to address crosstalk effects between different channels and to reduce the chromatic aberrations. In this paper, a Coded Structured Light system has been developed by integrating a color stripe projector and a monochrome camera. A discrete coding method, which combines spatial and temporal information, is generated by sequentially projecting and acquiring a small set of fringe patterns. The method allows the concurrent measurement of geometrical and chromatic data by exploiting the benefits of using a monochrome camera. The proposed methodology has been validated by measuring nominal primitive geometries and free-form shapes. The experimental results have been compared with those obtained by using a time-multiplexing gray code strategy. Full article

(This article belongs to the Section Physical Sensors)

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