1 research outputs found
A topological constrained model-based approach to correspondence problems for branched structures
Finding correspondences between images representing
branched or tree structures is a challenging task. Branched
structures are often encountered in many disciplines: anatomy,
medicine, agronomy and engineering are only few examples
of such fields. The difficulties come from the self-similarity of
the structure and frequent occlusions and overlappings, which
increase the number of ambiguous matchings. The aim of our
research is to correspond images showing vine structure for
an application in robotics. In this paper we propose a modelbased
approach to the problem, together with a constraint on
adjacent branches, which guarantees a topological correctness of
the reconstructed structure. Our work shows that the method
we tested can find almost all of the correct correspondences
and outperforms a maximum likelihood algorithm in terms of
precision and recal