Visual models of plants interacting with their environment
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Efficient simplification of point-sampled surfaces
Proceedings of the conference on Visualization '02
Study and Implementation of the Expert System for Greenhouse Tomato Planting
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
ACM SIGGRAPH 2006 Papers
Detailed 3D Reconstruction of Large-Scale Heritage Sites with Integrated Techniques
IEEE Computer Graphics and Applications
Growing virtual plants for virtual worlds
Proceedings of the 24th Spring Conference on Computer Graphics
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This paper presents a new approach for modeling commercial tomato plants using a hybrid method integrating laser scans, CAD tools and mathematical models to yield an architecturally accurate and human maniplable tomato plant model reflecting crop growth and management over time. 3D point cloud data captured by a laser scanner is intelligently thinned and transferred to a CAD system as reference points for parametric models. A hierarchical structure is used to decompose the tomato plants into weekly-growth-sections (WGS) to relate age with plant growth geometry and solving occlusion problems. A mathematical plant growth model is deployed to define geometry and topology of the plant components, WGS and the plant as a whole. A model validation system is developed as feedback to increase accuracy.