computer-vision-7
Natural Image Orientation Angle Detection
3260 papers • 126 benchmarks • 313 datasets
Image orientation angle detection is a pretty challenging task for a machine because the machine has to learn the features of an image in such a way so that it can detect the arbitrary angle by which the image is rotated. Though there are some modern cameras with features involving inertial sensors that can correct image orientation in steps of 90 degrees, those features are seldom used. In this paper, we propose a method to detect the orientation angle of a digitally captured image where the image may have been captured by a camera at a tilted angle (between 0\degree to 359\degree).
(Image credit: Papersgraph)
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Deep Image Orientation Angle Detection
Subhadip Maji, Smarajit Bose•Sat Jun 20 2020
This paper shows that the combination of CNN and a custom loss function specially designed for angles lead to a state-of-the-art results in estimating and rectifying the orientation angle of any image or document.
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