Image-based tree modeling

Authors:
Ping Tan;Gang Zeng;Jingdong Wang;Sing Bing Kang;Long Quan
Affiliations:
The Hong Kong University of Science and Technology;ETH Zürich;The Hong Kong University of Science and Technology;Microsoft Research, Redmond, WA;The Hong Kong University of Science and Technology
Venue:
ACM SIGGRAPH 2007 papers
Year:
2007

Citing 16
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Abstract

In this paper, we propose an approach for generating 3D models of natural-looking trees from images that has the additional benefit of requiring little user intervention. While our approach is primarily image-based, we do not model each leaf directly from images due to the large leaf count, small image footprint, and widespread occlusions. Instead, we populate the tree with leaf replicas from segmented source images to reconstruct the overall tree shape. In addition, we use the shape patterns of visible branches to predict those of obscured branches. We demonstrate our approach on a variety of trees.