Name
Abstract | ||
|---|---|---|
In this paper, we propose a process of 3D object reconstruction using a pair of Kinect cameras. After we refine raw depth images from two Kinect cameras using a joint bilateral filter, we find intrinsic and extrinsic parameters by camera calibration. Then, we apply 3D warping to obtain a point cloud model in the 3D space and acquire a smooth surface model of the 3D object. In order to accelerate a processing speed, we employ a CUDA framework for GPU parallel processing. We reconstruct depth data in the integrated 3D space and obtain a 3D object model at 5 fps. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/APSIPA.2014.7041651 | APSIPA |
Keywords | Field | DocType |
gpu parallel processing,3d warping,parallel processing,calibration,kinect camera calibration,intrinsic parameter,raw depth image,point cloud model,parallel architectures,smooth surface model,graphics processing units,extrinsic parameter,depth data reconstruction,image reconstruction,3d object reconstruction,cameras,cuda framework,joint bilateral filter,camera calibration,telecommunications,solid modeling | Iterative reconstruction,Computer vision,Image warping,Computer graphics (images),CUDA,Computer science,Object model,Camera resectioning,Artificial intelligence,Solid modeling,Point cloud,Bilateral filter | Conference |
ISSN | Citations | PageRank |
2309-9402 | 1 | 0.37 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong-Won Shin | 1 | 3 | 3.49 |
| Yo-Sung Ho | 2 | 1288 | 146.57 |