Image-based plant modeling

Authors:
Long Quan;Ping Tan;Gang Zeng;Lu Yuan;Jingdong Wang;Sing Bing Kang
Affiliations:
The Hong Kong University of Science and Technology;The Hong Kong University of Science and Technology;The Hong Kong University of Science and Technology;The Hong Kong University of Science and Technology;The Hong Kong University of Science and Technology;Microsoft Research
Venue:
ACM SIGGRAPH 2006 Papers
Year:
2006

Citing 19
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Abstract

In this paper, we propose a semi-automatic technique for modeling plants directly from images. Our image-based approach has the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant. We designed our modeling system to be interactive, automating the process of shape recovery while relying on the user to provide simple hints on segmentation. Segmentation is performed in both image and 3D spaces, allowing the user to easily visualize its effect immediately. Using the segmented image and 3D data, the geometry of each leaf is then automatically recovered from the multiple views by fitting a deformable leaf model. Our system also allows the user to easily reconstruct branches in a similar manner. We show realistic reconstructions of a variety of plants, and demonstrate examples of plant editing.