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ECCV
1996
Springer

Self-Calibration from Image Triplets

11 years 3 months ago
Self-Calibration from Image Triplets
Abstract. We describe a method for determining a ne and metric calibration of a camera with unchanging internal parameters undergoing planar motion. It is shown that a ne calibration is recovered uniquely, and metric calibration up to a two fold ambiguity. The novel aspects of this work are: rst, relating the distinguished objects of 3D Euclidean geometry to xed entities in the image second, showing that these xed entities can be computed uniquely via the trifocal tensor between image triplets third, a robust and automatic implementation of the method. Results are included of a ne and metric calibration and structure recovery using images of real scenes.
Martin Armstrong, Andrew Zisserman, Richard I. Har
Added 16 Oct 2009
Updated 16 Oct 2009
Type Conference
Year 1996
Where ECCV
Authors Martin Armstrong, Andrew Zisserman, Richard I. Hartley
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