发明名称 |
TREE MODEL AND FOREST MODEL GENERATING METHOD AND APPARATUS |
摘要 |
Provided is a tree model generating method according to an embodiment of the present invention. The tree model generating method includes separating and extracting a skeleton of a tree from an image including the tree to generate a matte image, applying a graph representation scheme of a two-dimensional (2D) object to the matte image to generate an object skeleton graph, generating a depth information value in accordance with a predetermined rule and allocating the generated depth information value to each node on the object skeleton graph to generate a three-dimensional (3D) primary tree model, adding branches to the primary tree model based on a branch library constructed in advance and the predetermined rule to generate a secondary tree model, and performing self-growth representation with respect to the secondary tree model based on a distance between each node on the object skeleton graph to generate a tertiary tree model. |
申请公布号 |
US2014354630(A1) |
申请公布日期 |
2014.12.04 |
申请号 |
US201313959260 |
申请日期 |
2013.08.05 |
申请人 |
Electronics and Telecommunications Research Institute |
发明人 |
KIM Jae Hwan;JEONG Il Kwon |
分类号 |
G06T13/60;G06T17/00 |
主分类号 |
G06T13/60 |
代理机构 |
|
代理人 |
|
主权项 |
1. A tree model generating method comprising:
separating and extracting a skeleton of a tree from an image including the tree to generate a matte image; applying a graph representation scheme of a two-dimensional (2D) object to the matte image to generate an object skeleton graph; generating a depth information value in accordance with a predetermined rule and allocating the generated depth information value to each node on the object skeleton graph to generate a three-dimensional (3D) primary tree model; adding branches to the primary tree model based on a branch library constructed in advance and the predetermined rule to generate a secondary tree model; and performing self-growth representation with respect to the secondary tree model based on a distance between each node on the object skeleton graph to generate a tertiary tree model. |
地址 |
Daejeon KR |