Autocalibration and the absolute quadric

The author describes a new method for camera autocalibration and scaled Euclidean structure and motion, from three or more views taken by a moving camera with fixed but unknown intrinsic parameters. The motion constancy of these is used to rectify an initial projective reconstruction. Euclidean scen...

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Vydáno v:Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition s. 609 - 614
Hlavní autor: Triggs, B.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 1997
Témata:
Calibration
Cameras
Constraint optimization
H infinity control
Head
Image reconstruction
Layout
Motion measurement
Quadratic programming
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ISBN:9780818678226, 0818678224
ISSN:1063-6919, 1063-6919
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Shrnutí:The author describes a new method for camera autocalibration and scaled Euclidean structure and motion, from three or more views taken by a moving camera with fixed but unknown intrinsic parameters. The motion constancy of these is used to rectify an initial projective reconstruction. Euclidean scene structure is formulated in terms of the absolute quadric-the singular dual 3D quadric (4/spl times/4 rank 3 matrix) giving the Euclidean dot-product between plane normals. This is equivalent to the traditional absolute conic but simpler to use. It encodes both affine and Euclidean structure, and projects very simply to the dual absolute image conic which encodes camera calibration. Requiring the projection to be constant gives a bilinear constraint between the absolute quadric and image conic, from which both can be recovered nonlinearly from m/spl ges/3 images, or quasi-linearly from m/spl ges/4. Calibration and Euclidean structure follow easily. The nonlinear method is stabler, faster, more accurate and more general than the quasi-linear one. It is based on a general constrained optimization technique-sequential quadratic programming-that may well be useful in other vision problems.
ISBN:9780818678226
0818678224
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.1997.609388