DocumentCode
3094772
Title
Approach for 3D Reconstructing Bonsai Plant
Author
Xuemin Liu ; Meng Yang ; Cheng Wang ; Gang Yang
Author_Institution
Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China
fYear
2015
fDate
20-22 April 2015
Firstpage
366
Lastpage
370
Abstract
Bonsai has strong ornamental characteristics, and interactive simulation of bonsai is becoming a hot topic in computer graphics modeling of plants. This paper proposes an interactive simulation method which is based on Kinect Fusion point cloud information. We get point cloud information by the Kinect, and through Laplace method to extract the skeleton of bonsai and interoperate with skeleton. Then we reconstruct the 3D structure of the plant according to the skeleton, which can also solve the block problem to some extent, and finally render the perfect model of the plant. Based on this, the user can also edit the generated models according to their wishes, and create specific forms and particular layout of bonsai models. In this paper, we use this relatively novel method of bonsai modeling to make effective interactive simulation to a variety of bonsai plants. The experimental results show that this method can effectively simulate many kinds of bonsai model with specific form and particular layout, which has a high application value.
Keywords
Laplace transforms; botany; feature extraction; image reconstruction; image sensors; interactive systems; solid modelling; 3D reconstruction; 3D structure; Kinect Fusion point cloud information; Laplace method; bonsai modeling; bonsai plant; computer graphics modeling; interactive simulation; ornamental characteristics; skeleton extraction; Biological system modeling; Computational modeling; Layout; Skeleton; Solid modeling; Three-dimensional displays; Vegetation; Art form and distribution; Bonsai; Interoperate; Kinect Fusion; Skeleton extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-8687-3
Type
conf
DOI
10.1109/BigMM.2015.73
Filename
7153916
Link To Document