Estimating 3D Leaf and Stem Shape of Nursery Paprika Plants by a Novel Multi-Camera Photography System
| العنوان: | Estimating 3D Leaf and Stem Shape of Nursery Paprika Plants by a Novel Multi-Camera Photography System |
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| المؤلفون: | Poching Teng, Kenji Omasa, Fumiki Hosoi, Yu Zhang, Yo Shimizu |
| المصدر: | Sensors; Volume 16; Issue 6; Pages: 874 Sensors (Basel, Switzerland) Sensors, Vol 16, Iss 6, p 874 (2016) |
| بيانات النشر: | MDPI AG, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | 0106 biological sciences, Mean squared error, MVS, 02 engineering and technology, Multi camera, lcsh:Chemical technology, 3D modeling, leaf, stem, accuracy, MCP system, stereovision, SfM, 01 natural sciences, Biochemistry, Article, Analytical Chemistry, law.invention, law, Photography, 0202 electrical engineering, electronic engineering, information engineering, Structure from motion, lcsh:TP1-1185, Plant breeding, Electrical and Electronic Engineering, Instrumentation, Mathematics, Remote sensing, Plant Stems, business.industry, Atomic and Molecular Physics, and Optics, Plant Leaves, Lens (optics), Growth monitoring, 020201 artificial intelligence & image processing, Capsicum, business, 010606 plant biology & botany |
| الوصف: | For plant breeding and growth monitoring, accurate measurements of plant structure parameters are very crucial. We have, therefore, developed a high efficiency Multi-Camera Photography (MCP) system combining Multi-View Stereovision (MVS) with the Structure from Motion (SfM) algorithm. In this paper, we measured six variables of nursery paprika plants and investigated the accuracy of 3D models reconstructed from photos taken by four lens types at four different positions. The results demonstrated that error between the estimated and measured values was small, and the root-mean-square errors (RMSE) for leaf width/length and stem height/diameter were 1.65 mm (R2 = 0.98) and 0.57 mm (R2 = 0.99), respectively. The accuracies of the 3D model reconstruction of leaf and stem by a 28-mm lens at the first and third camera positions were the highest, and the number of reconstructed fine-scale 3D model shape surfaces of leaf and stem is the most. The results confirmed the practicability of our new method for the reconstruction of fine-scale plant model and accurate estimation of the plant parameters. They also displayed that our system is a good system for capturing high-resolution 3D images of nursery plants with high efficiency. |
| وصف الملف: | application/pdf |
| تدمد: | 1424-8220 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f70429589cc4cb8c55d47c099f35abcd https://doi.org/10.3390/s16060874 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....f70429589cc4cb8c55d47c099f35abcd |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14248220 |
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