A real-time 3D shape measurement with color texture using a monochromatic camera

Liu, Yanzhao; Fu, Yanjun; Zhou, Pengxu; Zhuan, Yuhao; Zhong, Kangping; Guan, Bingliang

doi:10.1016/j.optcom.2020.126088

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Recently, various photogrammetry technologies of generating 3D scenes from 2D images (shape from texture (SFT) [12,13], shape from shading (SFS) [14][15][16], structure-frommotion and multi-view stereo (SFM-MVS) workflow ( [17]; etc.) have been developed in the field of computer vision to obtain three-dimensional point clouds of object surfaces at very low cost.…”

Section: Introductionmentioning

confidence: 99%

UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry

Lin

Yao

et al. 2021

Remote Sensing

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As a key canopy structure parameter, the estimation method of the Leaf Area Index (LAI) has always attracted attention. To explore a potential method to estimate forest LAI from 3D point cloud at low cost, we took photos from different angles of the drone and set five schemes (O (0°), T15 (15°), T30 (30°), OT15 (0° and 15°) and OT30 (0° and 30°)), which were used to reconstruct 3D point cloud of forest canopy based on photogrammetry. Subsequently, the LAI values and the leaf area distribution in the vertical direction derived from five schemes were calculated based on the voxelized model. Our results show that the serious lack of leaf area in the middle and lower layers determines that the LAI estimate of O is inaccurate. For oblique photogrammetry, schemes with 30° photos always provided better LAI estimates than schemes with 15° photos (T30 better than T15, OT30 better than OT15), mainly reflected in the lower part of the canopy, which is particularly obvious in low-LAI areas. The overall structure of the single-tilt angle scheme (T15, T30) was relatively complete, but the rough point cloud details could not reflect the actual situation of LAI well. Multi-angle schemes (OT15, OT30) provided excellent leaf area estimation (OT15: R2 = 0.8225, RMSE = 0.3334 m2/m2; OT30: R2 = 0.9119, RMSE = 0.1790 m2/m2). OT30 provided the best LAI estimation accuracy at a sub-voxel size of 0.09 m and the best checkpoint accuracy (OT30: RMSE [H] = 0.2917 m, RMSE [V]= 0.1797 m). The results highlight that coupling oblique photography and nadiral photography can be an effective solution to estimate forest LAI.

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Section: Introductionmentioning

confidence: 99%

UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry

Lin

Yao

et al. 2021

Remote Sensing

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“…Recientemente se han implementado diversas tecnologías de fotogrametría para generar escenas 3D a partir de imágenes 2D, al respecto Liu et al (2020) y Wrigth et al…”

Section: Introductionunclassified

Uso de un vehículo aéreo no tripulado como alternativa para generar información topográfica

et al. 2023

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Los vehículos aéreos no tripulados (UAV) se están convirtiendo en una herramienta tecnología muy versátil en diversas áreas de aplicación para actividades del desarrollo. La topografía, como área fundamental de la ingeniería, aporta información relacionada con la ubicación tridimensional de puntos en la superficie terrestre. Este trabajo tiene por objetivo generar información topográfica, usando un UAV como alternativa tecnológica a las técnicas tradicionales. La metodología consistió en la planificación y ejecución de dos vuelos fotogramétricos con el UAV EBEB SQ, instrumentado con la cámara multiespectral Sequoia. Para ello, se colocaron cinco puntos de control en el terreno, georreferenciados con estación total, usados como puntos de control en el procesamiento de las imágenes del vuelo. Las fotografías capturadas en el vuelo, fueron procesadas mediante fotogrametría con el software PIX4Dmapper, en un computador de escritorio, con procesador Intel(R) Core (TM) i9-9900K CPU 3.60GHz y 32.0 GB de RAM. Los resultados del vuelo fotogramétrico consistieron en un total de 633 fotografías RGB en un tiempo de vuelo de 36:27 minutos, para un área de cobertura de 57.7 ha. El reporte de calidad del procesamiento indicó una precisión de 2 mm en la georreferenciación de las fotografías con los puntos de control. El procesamiento fotogramétrico se ejecutó en un tiempo de 48 minutos para generar Ortofotos, Modelo Digital del Terreno (MDT) y nube de puntos tridimensional. Los productos generados alcanzaron una resolución espacial de 5 cm/pixel, con precisiones milimétricas que permitieron gestionar información topográfica secundaria como la pendiente. La nube de puntos permitió clasificar la cobertura en vegetación y suelo, para estimar la altura del dosel del cultivo de algodón con una precisión del 91 %. Como ventajas del UAV sobre las técnicas tradicionales para levantamientos topográficos se puede destacar la variedad y precisión de los productos geoespaciales y la optimización de los tiempos.

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“…Pengcheng Yao and Shaoyan Gai et al have introduced a cooperative multi-connected convolutional neural network for phase unwrapping with high accuracy and robustness [18]. Yanzhao Liu proposed a highspeed real-time 3D measurement system with a monochromatic camera [19]. The 3D shape of the object with color texture is retrieved using only six monochromes in total.…”

Section: Introductionmentioning

confidence: 99%

3D Measurement of Discontinuous Objects with Optimized Dual-frequency Grating Profilometry

Che

Sun

Jin

et al. 2021

Measurement Science Review

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Three-dimensional profilometry tends to be less effective at measuring discontinuous surfaces. To overcome this problem, an optimized profilometry based on fringe projection is proposed in this paper. Due to the limitation of the shooting angle, there are projection blind spots on the surface of discontinuous objects. Since the noises and unwrapping errors are always localized at the projection blind spots, an algorithm is designed to determine the blind spots automatically with the light intensity difference information. Besides, in order to improve the measurement accuracy, a processing scheme is introduced to deal with the local height distortion introduced by the dual-frequency grating profilometry. Lots of measurement tests on various surfaces are carried out to assess the optimized profilometry, and experimental results indicate that the modified profilometry system works more robust with high reliability and accuracy in measuring different kinds of surfaces, especially discontinuous ones.

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A real-time 3D shape measurement with color texture using a monochromatic camera

Cited by 5 publications

References 26 publications

UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry

UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry

Uso de un vehículo aéreo no tripulado como alternativa para generar información topográfica

3D Measurement of Discontinuous Objects with Optimized Dual-frequency Grating Profilometry

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