Name
Title | ||
|---|---|---|
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method |
Abstract | ||
|---|---|---|
This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape and motion. The Fast Level Set Method is an efficient implementation algorithm of the Level Set Method and has been applied to several applications such as object tracking in video images and 3D shape reconstruction using multiple stereo cameras. In this paper, we implement the Fast Level Set Method on a PC cluster and develop a real-time motion capture system for arbitrary viewpoint image synthesis. To obtain high performance on a PC cluster, efficient load-balancing and resource allocation algorithms are crucial problems. We develop a novel optimization technique of load distribution based on the estimation of moving direction of object boundaries. In this technique, the boundary motion is estimated in the framework of the Fast Level Set Method, and the optimum load distri- bution is predicted and performed according to the estimated boundary motion and the current load balance. Experiments of human shape reconstruction and arbitrary viewpoint image synthesis using the proposed system are successfully carried out. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ROBOT.2008.4543332 | Pasadena, CA |
Keywords | Field | DocType |
feature extraction,image reconstruction,motion estimation,resource allocation,stereo image processing,target tracking,3D shape reconstruction,arbitrary viewpoint image synthesis,boundary motion,human motion tracking,human shape tracking,load balancing,load distribution,moving direction estimation,multiple stereo cameras,object boundaries,object tracking,parallel fast level set method,real-time motion capture system,resource allocation,video images | Iterative reconstruction,Computer vision,Level set method,Parallel algorithm,Computer science,Level set,Video tracking,Artificial intelligence,Motion estimation,Match moving,3D reconstruction | Conference |
Volume | Issue | ISSN |
2008 | 1 | 1050-4729 E-ISBN : 978-1-4244-1647-9 |
ISBN | Citations | PageRank |
978-1-4244-1647-9 | 1 | 0.36 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iwashita, Y. | 1 | 1 | 0.36 |
| Ryo Kurazume | 2 | 622 | 74.18 |
| Kenji Hara | 3 | 88 | 11.63 |
| Seiichi Uchida | 4 | 790 | 105.59 |