TY - GEN
T1 - A great circle arc detector in equirectangular images
AU - Oh, Seon Ho
AU - Jung, Soon Ki
PY - 2012
Y1 - 2012
N2 - We propose a great circle arc detector in a scene represented by an equirectangular image, i.e. a spherical image of the 360° longitude and 180° 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.
AB - We propose a great circle arc detector in a scene represented by an equirectangular image, i.e. a spherical image of the 360° longitude and 180° 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.
KW - Equirectangular images
KW - Great circle arc detection
KW - Line segment detection
KW - Number of false alarms
UR - https://www.scopus.com/pages/publications/84862129443
M3 - Conference contribution
AN - SCOPUS:84862129443
SN - 9789898565037
T3 - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 346
EP - 351
BT - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
PB - Inst. for Syst. and Technol. of Inf., Control and Commun. (INSTICC)
T2 - International Conference on Computer Vision Theory and Applications, VISAPP 2012
Y2 - 24 February 2012 through 26 February 2012
ER -