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Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association
2019
Sensors
To solve the problems of the large differences in gray value and inaccurate positioning of feature information during infrared-visible image registration, we propose an automatic and robust algorithm for registering planar infrared-visible image sequences through spatio-temporal association. In particular, we first create motion vector distribution descriptors which represent the temporal motion information of foreground contours in adjacent frames to complete coarse registration without
doi:10.3390/s19050997
fatcat:lz4wlaogdjaj3jqwytpdhysmwe