CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Fitting a Cluster of Line Images under Central Catadioptric Camera
Wu YH(吴毅红)
Source PublicationCluster Computing
Generally, due to the partial occlusion, it is very
difficult to correctly estimate the central catadioptric line
image from its visible part. Except for the necessary and
sufficient conditions that must be satisfied by a set of paracatadioptric
line images, we find that if the antipodal points of
image points on the visible arc are known, the fitting accuracy
can be improved greatly. In this paper, we propose a
new method for fitting line images, which can be applied to
all central catadioptric projection. Firstly, a new relationship
between a pair of antipodal image points and the camera
principal point is derived. Next, using this relationship, a
new method is proposed to estimate the line images. These
estimated line images are used to calibrate camera intrinsic
parameters to evaluate the performance of our fitting method.
Experimental results on both simulated and real data have
demonstrated the effectiveness of our method.
KeywordCentral Catadioptric Projection Camera Calibration
Document Type期刊论文
Recommended Citation
GB/T 7714
Wu YH. Fitting a Cluster of Line Images under Central Catadioptric Camera[J]. Cluster Computing,2017(12):22.
APA Wu YH.(2017).Fitting a Cluster of Line Images under Central Catadioptric Camera.Cluster Computing(12),22.
MLA Wu YH."Fitting a Cluster of Line Images under Central Catadioptric Camera".Cluster Computing .12(2017):22.
Files in This Item: Download All
File Name/Size DocType Version Access License
Fitting a cluster of(1729KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wu YH(吴毅红)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wu YH(吴毅红)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wu YH(吴毅红)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Fitting a cluster of line images under central catadioptric camera_cluster computing.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.