Automatic 3D plant reconstruction from photographies, segmentation and classification of leaves and internodes using clustering.
Highlights: A stereo approach for 3D plant modelling is presented. Using only a set of photographies, the method produces a dense 3D point cloud that samples the plant surface. Clustering automatically segments the plant structure into meaningful parts, which are classified as leaves or internodes. Measurements can be computed for each element, as area or surface normals.
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Anais e Proceedings de eventos biblioteca |
| Language: | English eng |
| Published: |
2014-02-06
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| Subjects: | Modelagem de planta, Modelo de plantas, Reconstrução baseada em imagens, Models, |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/978995 |
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| Summary: | Highlights: A stereo approach for 3D plant modelling is presented. Using only a set of photographies, the method produces a dense 3D point cloud that samples the plant surface. Clustering automatically segments the plant structure into meaningful parts, which are classified as leaves or internodes. Measurements can be computed for each element, as area or surface normals. |
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