77 citations · 78 across the 4 of their papers we have counts for
4 papers
PlantSegNeRF: A few-shot, cross-species method for plant 3D instance point cloud reconstruction via joint-channel NeRF with multi-view image instance matching
Xin Yang, Ruiming Du, Hanyang Huang +7
Organ segmentation of plant point clouds is a prerequisite for the high-resolution and accurate extraction of organ-level phenotypic traits. Although the fast development of deep l…
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone
Xin Yang, Xuqi Lu, Pengyao Xie +6
The rice panicle traits significantly influence grain yield, making them a primary target for rice phenotyping studies. However, most existing techniques are limited to controlled…
Generating high-quality 3DMPCs by adaptive data acquisition and NeREF-based radiometric calibration with UGV plant phenotyping system
Pengyao Xie, Zhihong Ma, Ruiming Du +2
Fusion of 3D and MS imaging data has a great potential for high-throughput plant phenotyping of structural and biochemical as well as physiological traits simultaneously, which is…
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
Ruiming Du, Zhihong Ma, Pengyao Xie +2
Segmentation of plant point clouds to obtain high-precise morphological traits is essential for plant phenotyping. Although the fast development of deep learning has boosted much r…