Continuous image restoration attempts to provide a model that can restore images with unseen degradation levels during training at inference time.
We consider the problem of enhancing an underexposed dark image captured in a very low-light environment where details cannot be detected.
Corresponding epipolar lines have similar motion barcodes, and candidate pairs of corresponding epipoar lines are found by the similarity of their motion barcodes.
This paper proposes a similarity measure between lines that indicates whether two lines are corresponding epipolar lines and enables finding epipolar line correspondences as needed for the computation of epipolar geometry.
We introduce a simple and effective method for retrieval of videos showing a specific event, even when the videos of that event were captured from significantly different viewpoints.