. . "2008-01-22+01:00"^^ . . "We present an automatic technique for computing relative camera motion and simultaneous omnidirectional image matching. The technics works for small as well as large motions, tolerates multiple moving objects and very large occlusions in the scene. We show that the correct motion is found much sooner if the tentative matches are sampled after ordering them by the similarity of their descriptors. Secondly, we show that the correct camera motion can be better found by soft voting for the direction of the motion than by selecting the motion that is supported by the largest set of matches. Finally, we show that it is useful to filter out the epipolar geometries which are not generated by points reconstructed in front of cameras." . "Omnidirectional camera motion estimation"@cs . . "Z(MSM6840770038)" . . "camera motion estimation; omnidirectional images; epipolar geometry"@en . . "Omnidirectional camera motion estimation"@cs . . "RIV/68407700:21230/08:03155764" . "384515" . "2"^^ . "Pajdla, Tom\u00E1\u0161" . "INSTICC Press" . . "2"^^ . "Set\u00FAbal" . "Omnidirectional camera motion estimation"@en . . "[459CC29DE5E3]" . "Omnidirectional camera motion estimation" . . . . "Omnidirectional camera motion estimation"@en . . "8"^^ . "RIV/68407700:21230/08:03155764!RIV09-MSM-21230___" . "Omnidirectional camera motion estimation" . "Torii, Akihiko" . "978-989-8111-21-0" . "21230" . "Funchal, Madeira" . . "We present an automatic technique for computing relative camera motion and simultaneous omnidirectional image matching. The technics works for small as well as large motions, tolerates multiple moving objects and very large occlusions in the scene. We show that the correct motion is found much sooner if the tentative matches are sampled after ordering them by the similarity of their descriptors. Secondly, we show that the correct camera motion can be better found by soft voting for the direction of the motion than by selecting the motion that is supported by the largest set of matches. Finally, we show that it is useful to filter out the epipolar geometries which are not generated by points reconstructed in front of cameras."@cs . "000256791600090" . . "We present an automatic technique for computing relative camera motion and simultaneous omnidirectional image matching. The technics works for small as well as large motions, tolerates multiple moving objects and very large occlusions in the scene. We show that the correct motion is found much sooner if the tentative matches are sampled after ordering them by the similarity of their descriptors. Secondly, we show that the correct camera motion can be better found by soft voting for the direction of the motion than by selecting the motion that is supported by the largest set of matches. Finally, we show that it is useful to filter out the epipolar geometries which are not generated by points reconstructed in front of cameras."@en . . "VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications" . .