Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
525918 | Computer Vision and Image Understanding | 2010 | 13 Pages |
Abstract
This paper presents a novel sensitivity analysis of camera calibration from images of spheres. We improve the accuracy of a conic matrix and hence the accuracy of calibration results by eliminating the ambiguity of the conic orientation that arises from the nature of a circular-ellipse. In addition, relationships between the difference in length of the long and short axes of a conic and other parameters of the conic and the camera are investigated and demonstrated through parametric study and experimental analysis. By utilizing these relationships, we establish novel guidelines that can be followed to obtain better calibration results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Yan Lu, Shahram Payandeh,