arxiv:2007.06709

Deep Image Orientation Angle Detection

Published on Jun 21, 2020

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Abstract

Combining convolutional neural networks with a specialized loss function for angle estimation achieves state-of-the-art results in determining image orientation across the full 0-360 degree range.

AI-generated summary

Estimating and rectifying the orientation angle of any image is a pretty challenging task. Initial work used the hand engineering features for this purpose, where after the invention of deep learning using convolution-based neural network showed significant improvement in this problem. However, 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. This includes the estimation of the orientation angle of any image or document at any degree (0 to 360 degree),

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