Semantic Skeletonization for Structural Plant Analysis
Keywords:
Plant modeling, Structural plant analysis, 3D skeletonization, Feature extraction
Abstract
Computational plant modeling from 3D sensor data is crucial for the early assessment of plant traits. Semantic modeling enables the incorporation of knowledge about the plant species, leading to an improvement of purely geometrical skeletonization approaches. Structural plant features can thereby robustly be extracted from the sensor data.
Published
2013-06-03
Issue
Section
1B Reconstructing and observing plant structure
Authors who publish with this proceedings volume agree to the following terms:
- Authors retain copyright and grant the Conference organisers right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this proceedings volume.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the proceeding's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this proceedings volume.
