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Convenient reconstruction of natural plants by images

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2 Author(s)
Wei Ma ; Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Peking, China ; Hongbin Zha

Convenient reconstruction of natural plants is a difficult task because of their intrinsic complex geometry. In this paper, we propose a convenient image-based approach to modeling and rendering large-leaf plants by view synthesis based on an approximate geometric model. The model we adopt consists of a set of billboard clusters, obtained by automatically decomposing a volume based on the flat property of leaves and assigning billboards corresponding to all input image viewpoints for each cluster. The volume is recovered from a set of images. In the final rendering procedure, a view-dependent billboard in each cluster is generated by interpolating already constructed ones. The whole process can be finished in half an hour and requires no user intervention.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008