This article suggests an algorithm based on information deduced from a pair of wide baseline (or sparse view)
stereo images to enhance the accuracy of camera rotation angles detected using inaccurate sensors. The so-called JUDOCA operator; a fast junction detector, is used to extract important interest points. Through the
output information from that operator, affine transformation is then estimated and employed to guide a variance
normalized correlation process in order to get a set of possible matches. The so-called RANSAC scheme is used
to estimate the fundamental matrix; hence, the essential matrix can be estimated and SVD decomposed. In
addition to a translation vector, this decomposition results in an accurate rotation matrix with accurate rotation
angles involved. Mathematical derivation is done to extract and express angles in terms of different rotation
systems.
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