July 2004
Intermediate to advanced
688 pages
19h 3m
English
Content preview from Emerging Topics in Computer VisionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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2.7. Conclusion
In this chapter, we reviewed several camera calibration techniques. We classified them into four categories, depending whether they use 3D apparatus, 2D objects (planes), 1D objects, or just the surrounding scenes (self-calibration). Recommendations on choosing which technique to use were given in the introduction section.
The techniques described so far are mostly focused on a single-camera calibration. We touched a little bit on stereo calibration in Section 2.4.9. Camera calibration is still an active research area because more and more applications use cameras. In [2], spheres are used to calibrate one or more cameras, which can be considered a 2D approach, since only the surface property is used. In [5], a technique is described ...
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