Ping Tan
Abstract
In this paper, we introduce a simple sketching method to generate a realistic 3D tree model from a single image. The user draws at least two strokes in the tree image: the first crown stroke around the tree crown to mark up the leaf region, the second branch stroke from the tree root to mark up the main trunk, and possibly few other branch strokes for refinement. The method automatically generates a 3D tree model including branches and leaves. Branches are synthesized by a growth engine from a small library of elementary subtrees that are pre-defined or built on the fly from the recovered visible branches. The visible branches are automatically traced from the drawn branch strokes according to image statistics on the strokes. Leaves are generated from the region bounded by the first crown stroke to complete the tree. We demonstrate our method on a variety of examples.
Supplemental Material
- de Reffye, P., Edelin, C., Françon, J., Jaeger, M., and Puech, C. 1988. Plant models faithful to botanical structure and developmentr. In SIGGRAPH 1988. Google Scholar
- Kolmogorov, V., and Zabih, R. 2002. What energy functions can be minimized via graph cuts? In Proc. of European Conf. on Computer Vision. Google ScholarDigital Library
- Li, Y., Sun, J., Tang, C.-K., and Shum, H.-Y. 2004. Lazy snapping. SIGGRAPH 2004. Google Scholar
- Neubert, B., Franken, T., and Deussen, O. 2007. Approximate image-based tree-modeling using particle flows. SIGGRAPH 2007. Google Scholar
- Okabe, M., Owada, S., and Igarashi, T. 2005. Interactive design of botanical trees using freehand sketches and example-based editing. In Proc. of Eurographics 2005.Google Scholar
- Prusinkiewicz, P., James, M., and Měch, R. 1994. Synthetic topiary. In SIGGRAPH 1994, 351--358. Google Scholar
- Prusinkiewicz, P., Mündermann, L., Karwowski, R., and Lane, B. 2001. The use of positional information in the modeling of plants. In SIGGRAPH 2001. Google Scholar
- Quan, L., Tan, P., Zeng, G., Yuan, L., Wang, J., and Kang, S. B. 2006. Image-based plant modeling. SIGGRAPH 2006, 599--604. Google Scholar
- Reche-Martinez, A., Martin, I., and Drettakis, G. 2004. Volumetric reconstruction and interactive rendering of trees from photographs. SIGGRAPH 2004. Google Scholar
- Rother, C., Kolmogorov, V., and Blake, A. 2004. "grab-cut": interactive foreground extraction using iterated graph cuts. In SIGGRAPH 2004, 309--314. Google Scholar
- Shlyakhter, I., Rozenoer, M., Dorsey, J., and Teller, S. 2001. Reconstructing 3d tree models from instrumented photographs. IEEE Comput. Graph. Appl. 21, 3, 53--61. Google ScholarCross Ref
- Tan, P., Zeng, G., Wang, J., Kang, S. B., and Quan, L. 2007. Image-based tree modeling. In SIGGRAPH 2007, 87. Google Scholar
- Weber, J., and Penn, J. 1995. Creation and rendering of realistic trees. In SIGGRAPH 1995, 119--128. Google Scholar
- Xu, H., Gossett, N., and Chen, B. 2007. Knowledge and heuristic-based modeling of laser-scanned trees. ACM Trans. Graph. 26, 4, 19. Google ScholarDigital Library
Index Terms
- Single image tree modeling
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