Data acquisition for 3D surface modelling of chilli plant by using close range photogrammetry for volume estimation

Ayob, Nur Zainun Syafiqah; Kamarauzaman, Norsyafikah; Sahriman, Noorita; Samad, Abd Manan

doi:10.1109/spc.2015.7473578

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…In the meantime, photogrammetry has been applied in various botanical studies. 3D models of live agricultural plants were reconstructed with photogrammetric methods, so as to estimate their growth rate and biomass, from which were the parameters were found to be highly accurate and precise [21][22][23][24][25]. Furthermore, photogrammetry also provided a low-cost and nondestructive alternative to document live plant records [26,27].…”

Section: Introductionmentioning

confidence: 99%

Photogrammetric reconstruction of 3D carpological collection in high resolution for plants authentication and species discovery

et al. 2022

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This study provides an accurate and efficient method to reconstruct detailed and high-resolution digital 3D models of carpological materials by photogrammetric method, in which only about 100 to 150 images are required for each model reconstruction. The 3D models reflect the realistic morphology and genuine color of the carpological materials. The 3D models are scaled to represent the true size of the materials even as small as 3 mm in diameter. The interfaces are interactive, in which the 3D models can be rotated in 360° to observe the structures and be zoomed to inspect the macroscopic details. This new platform is beneficial for developing a virtual herbarium of carpological collection which is thus the most important to botanical authentication and education.

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Section: Introductionmentioning

confidence: 99%

Photogrammetric reconstruction of 3D carpological collection in high resolution for plants authentication and species discovery

et al. 2022

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“…With the maturity of hardware and software for close-range photogrammetry and the further maturity of artificial intelligence, machine learning and other technologies, it is possible to monitor major national infrastructure using close-range photogrammetry. Close-range photogrammetry, as a measuring method, has been widely used in the fields of space information science, such as three-dimensional modeling, cultural relic protection, water resources protection and mining monitoring [13][14][15][16][17][18]. The plant volume is estimated by acquiring data for constructing a 3D model of a living plant using close-range photogrammetry [13].…”

Section: Introductionmentioning

confidence: 99%

“…Close-range photogrammetry, as a measuring method, has been widely used in the fields of space information science, such as three-dimensional modeling, cultural relic protection, water resources protection and mining monitoring [13][14][15][16][17][18]. The plant volume is estimated by acquiring data for constructing a 3D model of a living plant using close-range photogrammetry [13]. Close-range photogrammetry is used to measure soil disturbances and it can give information not available via traditional methods [14].…”

Section: Introductionmentioning

confidence: 99%

Research on the Design and Automatic Recognition Algorithm of Subsidence Marks for Close-Range Photogrammetry

Zou

Guo-jian

2020

Sensors

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In China, traditional techniques for measuring structural subsidence cannot keep pace with the rapid development of critical national infrastructure such as the growing network of high-speed railways. Traditional monitoring methods using leveling instruments are inefficient and time consuming when monitoring structures like bridges and tunnels. Thus, a fast, economical, and more accurate and precise way to survey building subsidence is urgently needed to address this problem. This paper introduces a new close-range photogrammetry technique that deploys a fixed camera with tilt compensator to measure changes in height over small areas. A barcode subsidence mark that can be identified automatically during digital image processing replaces the leveling points used in traditional methods. Four experiments at different locations verified that results from the new method were stable and consistent with total station measurements. This approach is simple, inexpensive, and produces accurate and precise results as our evaluation results show.

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Geometric Data Calculation of Plants Using Three-Dimensional Scan with Depth Sensor

Aoki

2019

Lecture Notes in Electrical Engineering

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Data acquisition for 3D surface modelling of chilli plant by using close range photogrammetry for volume estimation

Cited by 4 publications

References 3 publications

Photogrammetric reconstruction of 3D carpological collection in high resolution for plants authentication and species discovery

Photogrammetric reconstruction of 3D carpological collection in high resolution for plants authentication and species discovery

Research on the Design and Automatic Recognition Algorithm of Subsidence Marks for Close-Range Photogrammetry

Geometric Data Calculation of Plants Using Three-Dimensional Scan with Depth Sensor

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