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학술지 Single Image-Based 3D Tree and Growth Models Reconstruction
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저자
김재환, 정일권
발행일
201406
출처
ETRI Journal, v.36 no.3, pp.450-459
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.14.0113.0069
협약과제
12CT1800, CG 영상 제작용 디지털 네이처 저작 기술 개발, 정일권
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.
키워드
Digital image matting, Growth simulation, Skeletonization, Virtual 3D tree modeling
KSP 제안 키워드
3D tree modeling, Bending effect, Growth models, Growth process, Image Matting, Image-based, Self-bending, Single image, Tree growth, digital image, growth simulation