Oct 31, 2021 · In [15], a multi-view approach is proposed, which allows the use of a CNN to perform semantic segmentation on 2D images. The 2D projections are ...
Sep 8, 2021 · In this work, we propose to use a supervised machine learning algorithm to predict per-point semantic annotations directly from point cloud data ...
In this work, we propose to use a supervised machine learning algorithm to predict per-point semantic annotations directly from point cloud data of whole plants ...
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Publications that cite this publication · High‐throughput phenotyping for breeding targets—Current status and future directions of strawberry trait automation.
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Posted: Aug 16, 2021
Posted: Aug 16, 2021
The multi-view method maps the point cloud to multi-view images and then uses image convolution for classification. The voxel-based method rasters point cloud ...
Jul 30, 2024 · In this paper, we introduce PLANesT-3D; a new annotated dataset of 3D color point clouds of plants. PLANesT-3D is composed of 34 point cloud ...
May 1, 2024 · This method achieves high-precision segmentation of plant point clouds, expands the semantic segmentation method of plants, and lays a solid ...
In this section, we will review the research related to dataset and 3D point cloud semantic segmentation. In recent years, due to the rapid development of deep ...
Mar 30, 2023 · In applying deep learning for plant part segmentation, the annotation of point clouds is an important step to label the data for effective model ...