Title :
Omnidirectional image processing using geodesic metric
Author :
Demonceaux, C. ; Vasseur, P.
Author_Institution :
M.I.S. EA 4290, Univ. of Picardie, Amiens, France
Abstract :
Due to distorsions of catadioptric sensors, omnidirectional images can not be treated as classical images. If the equivalence between central catadioptric images and spherical images is now well known and used, spherical analysis often leads to complex methods particularly tricky to employ. In this paper, we propose to derive omnidirectional image treatments by using geodesic metric. We demonstrate that this approach allows to adapt efficiently classical image processing to omnidirectional images.
Keywords :
differential geometry; image processing; image sensors; catadioptric sensors; central catadioptric images; geodesic metric; omnidirectional image processing; spherical analysis; spherical images; Cameras; Convolution; Filtering; Geometry; Geophysics computing; Image processing; Image sampling; Image sensors; Low pass filters; Mirrors; Omnidirectional image; image processing;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414485