Indoor and Outdoor Surface Measurement of 3D Objects under Different Background Illuminations and Wind Conditions Using Laser-Beam-Based Sinusoidal Fringe Projections

Chen, Bingquan; Gao, Hongxiu; Li, Hongsheng; Ma, Hongyang; Gao, Peng; Chu, Peng-Cheng; Shi, Peng

doi:10.3390/photonics8060178

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Finally, we have a new surface, Sur f ace ir−mean pt , used to calculate the local reference coordinate system {a}. The three axes of {a} form the rotation matrix [RF] 3×3 , and the key point K i−mean pt is then transferred to a new 3D coordinate system, as shown in (1).…”

Section: Encoding 3d Key Point Locationsmentioning

confidence: 99%

“…There has been a recent and rapid development of three-dimensional (3D) laser scanning technology for use in reverse engineering, digital cities, deformation monitoring, and other applications [1]. Owing to limitations in the field of view of 3D laser scanning equipment, and the complex geometry of the scanned objects themselves, the point cloud data collected from each viewpoint only partially cover the geometric information of the scanned object surfaces.…”

Section: Introductionmentioning

confidence: 99%

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Fast Point Cloud Registration Algorithm Based on 3DNPFH Descriptor

You

Chen

et al. 2022

Photonics

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Although researchers have investigated a variety of approaches to the development of three-dimensional (3D) point cloud matching algorithms, the results have been limited by low accuracy and slow speed when registering large numbers of point cloud data. To address this problem, a new fast point cloud registration algorithm based on a 3D neighborhood point feature histogram (3DNPFH) descriptor is proposed for fast point cloud registration. With a 3DNPFH, the 3D key-point locations are first transformed into a new 3D coordinate system, and the key points generated from similar 3D surfaces are then close to each other in the newly generated space. Subsequently, a neighborhood point feature histogram (NPFH) was designed to encode neighborhood information by combining the normal vectors, curvature, and distance features of a point cloud, thus forming a 3DNPFH (3D + NPFH). The descriptor searches radially for 3D key point locations in the new 3D coordinate system, reducing the search coordinate system for the corresponding point pairs. The “NPFH” descriptor is then coarsely aligned using the random sample consensus (RANSAC) algorithm. Experiment results show that the algorithm is fast and maintains high alignment accuracy on several popular benchmark datasets, as well as our own data.

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Section: Encoding 3d Key Point Locationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast Point Cloud Registration Algorithm Based on 3DNPFH Descriptor

You

Chen

et al. 2022

Photonics

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Three-Dimensional Imaging and Reconstructions of Objects Under Rainy Conditions Using the Generation and Propagation of Coherent Structured Signal

Chen

Shi

et al. 2022

IEEE Photonics J.

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Determining Surface Shape of Translucent Objects with the Combination of Laser-Beam-Based Structured Light and Polarization Technique

Chen

Shi

Wang

et al. 2021

Sensors

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In this study, we focus on the 3D surface measurement and reconstruction of translucent objects. The proposed approach of surface-shape determination of translucent objects is based on the combination of the projected laser-beam-based sinusoidal structured light and the polarization technique. The theoretical analyses are rigorously completed in this work, including the formation, propagation, and physical features of the generated sinusoidal signal by the designed optical system, the reflection and transmission of the projected monochromatic fringe pattern on the surface of the translucent object, and the formation and the separation of the direct-reflection and the global components of the surface radiance of the observed object. The results of experimental investigation designed in accordance with our theoretical analyses have confirmed that accurate reconstructions can be obtained using the one-shot measurement based on the proposed approach of this study and Fourier transform profilometry, while the monochromaticity and the linearly-polarized characteristic of the projected sinusoidal signal can be utilized by using a polarizer and an optical filter simultaneously for removing the global component, i.e., the noised signal contributed by multiply-scattered photons and the background illuminance in the frame of our approach. Moreover, this study has also revealed that the developed method is capable of getting accurate measurements and reconstructions of translucent objects when the background illumination exists, which has been considered as a challenging issue for 3D surface measurement and reconstruction of translucent objects.

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Indoor and Outdoor Surface Measurement of 3D Objects under Different Background Illuminations and Wind Conditions Using Laser-Beam-Based Sinusoidal Fringe Projections

Cited by 3 publications

References 30 publications

Fast Point Cloud Registration Algorithm Based on 3DNPFH Descriptor

Fast Point Cloud Registration Algorithm Based on 3DNPFH Descriptor

Three-Dimensional Imaging and Reconstructions of Objects Under Rainy Conditions Using the Generation and Propagation of Coherent Structured Signal

Determining Surface Shape of Translucent Objects with the Combination of Laser-Beam-Based Structured Light and Polarization Technique

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