Title
Estimation of Internal and External Parameters for Camera Calibration Using 1D Pattern
Abstract
Camera calibration is to estimate the intrinsic and extrinsic parameters of a camera. Most of object-based calibration methods used 3D or 2D pattern. A novel and more flexible 1D object-based calibration was introduced only a couple of years ago, but merely for estimation of intrinsic parameters. The estimation of extrinsic papers is essential when multiple cameras are involved for simultaneously taking images from different view angles and when the knowledge of relative locations between the cameras is required. Though it is relatively simple using 2D or 3D calibration pattern, the estimation of extrinsic parameters is not obvious using 1D pattern. In this paper, we will perform a 1D camera calibration involving both intrinsic and extrinsic parameters.
Year
DOI
Venue
2006
10.1109/AVSS.2006.48
AVSS
Keywords
Field
DocType
calibration pattern,multiple camera,intrinsic parameter,relative location,different view angle,extrinsic parameter,object-based calibration,external parameters,object-based calibration method,extrinsic paper,camera calibration,parameter estimation,geometry,layout,image reconstruction,computer vision,calibration
Iterative reconstruction,Computer vision,Computer graphics (images),Computer science,Camera auto-calibration,Camera resectioning,Artificial intelligence,Estimation theory,Telecommunication computing,Calibration
Conference
ISBN
Citations 
PageRank 
0-7695-2688-8
5
0.56
References 
Authors
7
6
Name
Order
Citations
PageRank
Xiangjian He1932132.03
Huaifeng Zhang224018.84
Namho Hur322051.02
Jinwoong Kim420827.73
Qiang Wu530440.42
Taeone Kim6313.46