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.

• Type: Conference
• Year: 1996
• Where: ECCV
• Authors: Martin Armstrong, Andrew Zisserman, Richard I. Hartley
• Keywords: Computer Vision, ECCV 1996, Fold Ambiguity, Image Triplets, Metric Calibration, Ne Calibration, Unchanging Internal Parameters