Title :
On the absolute quadratic complex and its application to autocalibration
Author :
Ponce, J. ; McHenry, K. ; Papadopoulo, T. ; Teillaud, M. ; Triggs, B.
Author_Institution :
Beckman Inst., Illinois Univ., Urbana, IL, USA
Abstract :
This article introduces the absolute quadratic complex formed by all lines that intersect the absolute conic. If ω denotes the 3 × 3 symmetric matrix representing the image of that conic under the action of a camera with projection matrix P, it is shown that ω ≈ P~Ω_P~T where V is the 3 × 6 line projection matrix associated with P and Ω_ is a 6 × 6 symmetric matrix of rank 3 representing the absolute quadratic complex. This simple relation between a camera´s intrinsic parameters, its projection matrix expressed in a projective coordinate frame, and the metric upgrade separating this frame from a metric one - as respectively captured by the matrices ω, P~ and Ω_ - provides a new framework for autocalibration, particularly well suited to typical digital cameras with rectangular or square pixels since the skew and aspect ratio are decoupled from the other intrinsic parameters in ω.
Keywords :
calibration; computational complexity; computational geometry; image processing; matrix algebra; absolute conic; absolute quadratic complex; autocalibration; computational complexity; computational geometry; conic image; digital cameras; line projection matrix; matrix algebra; projective coordinate frame; symmetric matrix; Calibration; Digital cameras; Geometry; Image reconstruction; Iterative algorithms; Iterative methods; Layout; Physics computing; Surface reconstruction; Symmetric matrices;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.256