Jan Dupuis
Papers
1
Total Citations
186
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1
About
Jan Dupuis is a leading figure in computational plant phenotyping, with a core focus on developing automated methods for analyzing 3D laser-scanned data of plants. Their most influential contribution is the pioneering work on surface feature-based classification of plant organs from 3D point clouds, a foundational approach that enables the automated segmentation of leaves, stems, and other structures from complex laser scans. This breakthrough, detailed in their 2013 paper (186 citations), directly addresses the critical bottleneck of processing the massive, high-resolution datasets generated by modern laser scanning. By transforming raw point clouds into actionable morphological data, Dupuis’s research has significantly accelerated the study of plant growth and architecture, providing essential tools for high-throughput phenotyping. Their work is widely recognized as a cornerstone in the field, bridging the gap between advanced sensing technology and practical biological analysis, and continues to influence researchers developing automated pipelines for quantifying plant traits in both controlled environments and field settings.
Research Focus
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Top Papers
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