Self-calibration from image triplets
We describe a method for determining affine and metric calibration of a camera with unchanging internal parameters undergoing planar motion. It is shown that affine calibration is recovered uniquely, and metric calibration up to a two fold ambiguity. <br> The novel aspects of this work are: fi...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2005
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| Summary: | We describe a method for determining affine and metric calibration of a camera with unchanging internal parameters undergoing planar motion. It is shown that affine calibration is recovered uniquely, and metric calibration up to a two fold ambiguity.
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The novel aspects of this work are: first, relating the distinguished objects of 3D Euclidean geometry to fixed entities in the image; second, showing that these fixed entities can be computed uniquely via the trifocal tensor between image triplets; third, a robust and automatic implementation of the method.
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Results are included of affine and metric calibration and structure recovery using images of real scenes. |
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