Abstract
Sensor data, typically images and laser data, are essential to modeling real plants. However, due to the complex geometry of the plants, the measurement data are generally limited, thereby bringing great difficulties in classifying and constructing plant organs, comprising leaves and branches. The paper presents an approach to modeling plants with the sensor data by detecting reliable sharp features, i.e. the leaf apexes of the plants with leaves and the branch tips of the plants without leaves, on volumes recovered from the raw data. The extracted features provide good estimations of correct positions of the organs. Thereafter, the leaves are reconstructed separately by simply fitting and optimizing a generic leaf model. One advantage of the method is that it involves limited manual intervention. For plants without leaves, we develop an efficient strategy for decomposition-based skeletonization by using the tip features to reconstruct the 3D models from noisy laser data. Experiments show that the sharp feature detection algorithm is effective, and the proposed plant modeling approach is competent in constructing realistic models with sensor data.
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References
Quan L, Tan P, Zeng G, et al. Image-based plant modeling. ACM Trans Graph, 2006, 25(3): 599–604
Xu H, Gossett N, Chen B. Knowledge and heuristic-based modeling of laser-scanned trees. ACM Trans Graph, 2007, 26(4): 19: 2–13
Prusinkiewicz P, Lindenmayer A, Hanan J. The Algorithmic Beauty of Plant. New York: Springer-Verlag, 1990
Soner I, Day A M. Modeling trees and their interaction with the environment: A survey. Comput Graph, 2005, 29(5): 805–817
Reffye P D, Edelin P C, Francon J, et al. Plant models faithful to botanical structure and development. Comput Graph, 1988, 22(4): 151–158
Deussen O, Lintermann B. Interactive modeling of plants. IEEE Comput Graph Appl, 1999, 25(3): 56–65
Ijiri T, Owada S, Okabe M, et al. Floral diagrams and inflorescences: Interactive flower modeling using botanical structural constraints. ACM Trans Graph, 2005, 24(3): 720–726
Qin X, Nakamae E, Tadamura K, et al. Fast photo-realistic rendering of trees in daylight. In: Proceedings of Eurographics, 2003, 243–252
Behrendt S, Colditz C, Franzke O, et al. Realistic real-time rendering of landscapes using billboard clouds. In: Proceedings of Eurographics, 2005. 507–516
Shlyakher I, Rozenoer M, Dorsey J, et al. Reconstructing 3D tree models from instrumented photographs. IEEE Comput Graph Appl, 2001, 21(3): 53–61
Han F, Zhu S C. Bayesian reconstruction of 3D shapes and scenes from a single image. In: Proceedings of IEEE Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003. 12–20
Neubert B, Franken T, Deussen O. Approximate image-based tree modeling using particle flows. ACM Trans Graph, 2007, 26(3): 88: 1–8
Tan P, Zeng G, Wang J D, et al. Image-based tree modeling. ACM Trans Graph, 2007, 26(3): 87: 1–7
Reche A, Martin I, Drettakis G. Volumetric reconstruction and interactive rendering of trees from photographs. ACM Trans Graph, 2004, 23(3): 720–727
Seitz S M, Dyer C R. Photorealistic scene reconstruction by voxel coloring. Int J Comput Vision, 1999, 25(3): 151–173
Seitz S M, Curless B, Diebel J, et al. A comparison and evaluation of multi-view stereo reconstruction algorithms. In: IEEE Conference on Computer Vision and Pattern Recognition, 2006. 519–562
Manh A G, Rabatel G, Assemat L, et al. Weed leaf image segmentation by deformable templates. J Agr Eng Res, 2001, 80(2): 139–146
Ma W, Xiang B, Zhang X P, et al. Decomposition of branching volume data by tip detection. In: IEEE International Conference on Image Processing, 2008. 1948–1951
Zhou Y, Toga A W. Efficient skeletonization of volumetric objects. IEEE Trans Visual Comput Graph, 1999, 5(3): 196–209
Bucksch A, Appel van Wageningen H. Skeletonization and segmentation of point clouds using octrees and graph theory. In: ISPRS Symp: Imag Eng Vision Metrol Vol. XXXVI. ISPRS Commission V Symposium, 2006. 1–6
Lien J M, Keyser J, Amato N M. Simultaneous shape decomposition and skeletonization. In: Proceedings of the 2006 ACM Symposium on Solid and Physical Modeling, 2006. 219–228
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Supported in part by the National Basic Research Program of China (Grant No. 2004CB318000), the National High-Tech Research & Development Program of China (Grant Nos. 2006AA01Z301, 2006AA01Z302, 2007AA01Z336), Key Grant Project of Chinese Ministry of Education (Grant No. 103001)
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Ma, W., Xiang, B., Zha, H. et al. Modeling plants with sensor data. Sci. China Ser. F-Inf. Sci. 52, 500–511 (2009). https://doi.org/10.1007/s11432-009-0064-2
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DOI: https://doi.org/10.1007/s11432-009-0064-2