This study explores the use of Neural Radiance Fields for accurate 3D phenotyping of pepper plants in greenhouses. Traditional phenotyping methods are compared to NeRF reconstruction, showing competitive accuracy. The study addresses challenges in current phenotyping methods and introduces a method for recovering the true scale of NeRF. A detailed methodology is provided for data acquisition, 3D modeling from NeRF, point cloud registration, and post-processing for phenotyping measurements. Results show that NeRF models achieve similar accuracy to 3D scanning methods with improved efficiency and accuracy after scale restoration. The study also includes an ablation study on NeRF-based approaches, demonstrating improvements in model optimization and reconstruction quality. Quantitative evaluations on accuracy and phenotypic measurements show promising results.
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by unhong Zhao,... um arxiv.org 03-26-2024
https://arxiv.org/pdf/2403.15981.pdfTiefere Fragen