Authors:
Seon Ho Oh
and
Soon Ki Jung
Affiliation:
Kyungpook National University, Korea, Republic of
Keyword(s):
Line Segment Detection, Equirectangular Images, Great Circle Arc Detection, Number of False Alarms.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Visual Attention and Image Saliency
Abstract:
We propose a great circle arc detector in a scene represented by an equirectangular image, i.e. a spherical image of the 360º longitude and 180º latitude field of view. Since the straight lines appears curved in equirectangular images, the standard line detection algorithm cannot be used directly in this context. We extend the LSD method (Gioi et al., 2010) to deal with the equirectangular images instead of planar images. So the proposed method has most of the advantages of the LSD method, which gives accurate results with a controlled number of false detections but requires no parameter tuning. This algorithm is tested and compared to other algorithm on a wide set of images.