Akademik Veri Yönetim Sistemi
Proceedings of the Second International Conference on Computer Vision Theory and Applications , Barcelona, İspanya, 8 - 11 Mart 2007, ss.264-271
Every junction detector has a set of thresholds to make decisions about the junctionness of image points.
Low-contrast junctions may pass such thresholds and may not be detected. Lowering the thresholds to find
such junctions will lead to spurious junction detections at other image points. In this paper, we implement a
junction-regularity measure to improve localization of junctions, and we develop a method to create semantic
interpretations of arbitrary junction configurations at improved junction positions. We propose to utilize such
a semantic interpretation as a feedback mechanism to filter false-positive junctions. We show results of our
proposals on natural images using Harris and SUSAN operators as well as a continuous concept of intrinsic
dimensionality.