Title :
Efficient linear solution of exterior orientation
Author_Institution :
BAE Syst., Merrimack, NH, USA
fDate :
2/1/2001 12:00:00 AM
Abstract :
This paper concerns an efficient algorithm for the solution of the exterior orientation problem. Orthogonal decompositions are used to first isolate the unknown depths of feature points in the camera reference frame, allowing the problem to be reduced to an absolute orientation with scale problem, which is solved using the singular value decomposition (SVD). The key feature of this approach is the low computational cost compared to existing approaches
Keywords :
computational complexity; image processing; singular value decomposition; camera reference frame; computational cost; efficient algorithm; efficient linear solution; exterior orientation; feature point depth isolation; orientation problem; orthogonal decompositions; scale problem; singular value decomposition; Cameras; Computational efficiency; Equations; Iterative algorithms; Machine vision; Matrix decomposition; Navigation; Null space; Polynomials; Position measurement;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
