|Título||Outlier Detection for Line Matching|
|Autores||Roi Santos, Xose M. Pardo, Xose R. Fdez-Vidal|
|Tipo||Comunicación para congreso|
Iberoamerican Congress on Pattern Recognition,
Springer Nature Switzerland,
|Abstract||Finding counterparts for straight lines over multiple images is a fundamental task in image processing, and the base for 3D reconstruction methods using segments. This paper introduces novel insights to improve the state-of-the-art unsupervised line matching over groups of images, aimed to source geometrical relations for 3D reconstruction algorithms.
Most of the line-based 3D reconstruction methods published are ballasted as a consequence of sourcing the correspondences from matching methods that are not designed for this purpose. The repetitive line patterns present in many man-made structure turns difficult to came up with an outliers-free set of segment correspondences. The presented approach integrates an outliers detector based on 3D structure into a state of the art line matching algorithm.|
|Palabras chave||3D reconstruction, Line matching, Structure-From-Motion|