Image-Based Tree Modeling

  • Jingdong Wang
  • Ping Tan
  • Gang Zeng
  • Sing Bing Kang
  • Long Quan

ACM SIGGRAPH and ACM Transactions on Graphics | , Vol 26

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.