Camera positions around the original sparse point clouds of an experimental plant
Home » Image-based dynamic quantification and 3D evaluation for canopy structure

Image-based dynamic quantification and 3D evaluation for canopy structure

Phenotypic analysis with high-throughput, high-accuracy and low-cost technologies has become widely accessible. Hui et al. reconstruct and evaluate 3D canopy of plant population for cucumber (Cucumis sativus), pepper (Capsicum annuum) and eggplant (Solanum melongena) based on the multi-view stereo approach.

Camera positions around the original sparse point clouds of an experimental plant
Camera positions around the original sparse point clouds of an experimental plant, obtained using VisualSFM. (A) Single-layer photograph of eggplant. (B) Double-layer photograph of cucumber.

A high level of overlap was found between surfaces of image-based reconstruction and laser scanning. High-accuracy 3D evaluation of reconstructed quality indicates that dynamic capture of canopy structure of plant population based on the multi-view stereo approach can potentially be used in 3D phenotyping for applications in breeding, model simulation and field management.

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