Pattern Matching with Differential Voting and Median Transformation Derivation
Abstract
We describe an algorithm for matching two-dimensional coordinate lists. Such matching should be immune to translation, rotation, scaling and flipping. We assume that coordinate lists may be only partially overlapping and we allow some random perturbations in the lists. Our goal is to match enough points to be able to derive a coordinates transformation with high confidence. The implementation described here is a part of SkySpy automated sky survey system. The presented algorithm is used to perform matching of stars detected during observations with star catalogues.
Fichier principal
MarszalekRokita-ICCVG04-DifferentialVoting.pdf (355.88 Ko)
Télécharger le fichier
diffvote.png (59.02 Ko)
Télécharger le fichier
MarszalekRokita-ICCVG04-DifferentialVoting-slides.pdf (218.65 Ko)
Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Format : Other