상세정보
학술지
Single Image-Based 3D Tree and Growth Models Reconstruction
- 발행일
- 201406
- 출처
- ETRI Journal, v.36 no.3, pp.450-459
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 초록
- In this paper, we present a new, easy-to-generate system that is capable of creating virtual 3D tree models and simulating a variety of growth processes of a tree from a single, real tree image. We not only construct various tree models with the same trunk through our proposed digital image matting method and skeleton-based abstraction of branches, but we also animate the visual growth of the constructed 3D tree model through usage of the branch age information combined with a scaling factor. To control the simulation of a tree growth process, we consider treegrowing attributes, such as branching orders, branch width, tree size, and branch self-bending effect, at the same time. Other invisible branches and leaves are automatically attached to the tree by employing parametric branch libraries under the conventional procedural assumption of structure having a local selfsimilarity. Simulations with a real image confirm that our system makes it possible to achieve realistic tree models and growth processes with ease. © 2014 ETRI.
- KSP 제안 키워드
- 3D tree model, Bending effect, Growth models, Growth process, Image Matting, Image-based, Self-bending, Single image, Tree growth, digital image, local selfsimilarity