Stereo-image Rectification for Dense 3D Reconstruction in Scanning Electron Microscope
Résumé
Stereo rectification is a crucial step for a number
of computer vision problems and in particular for dense 3D
reconstruction which is a very powerful characterization tool for
microscopic objects. Rectification simplifies and speeds up the
correspondence search in a pair of images: the search space is
reduced to a horizontal line. It is mainly developed for perspective
camera model: a projective transformation is found and applied
to both images. This paper addresses the rectification problem
for an image pair obtained with Scanning Electron Microscope
(SEM). In this case, image formation is described by a parallel
projection, indeed perspective effects can be neglected because
of the low value of the sample size over working distance
ratio. Based on these hypotheses, a robust estimation of the
fundamental matrix, that describes the geometry of the image
pair, is proposed. It filters out up to 50% of outliers in a
feature correspondence set. Then, the matrix is used to develop
a rectification solution: the problem is reduced to two rotations
about the optical axis of the camera. The solution is accurate and
does not require any calibration of SEM. It is validated with two
image pairs from two different field effect SEMs
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