Browse State-of-the-Art › Natural Image Orientation Angle Detection
Natural Image Orientation Angle Detection
1 paper with code · 0 benchmarks · 0 datasets archive 2025-07-28
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).
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21 Jun 2020 1 repository listed Syntology ran 0 of 7 samples · 7 unverifiedEstimating and rectifying the orientation angle of any image is a pretty challenging task.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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