Algorithm to detect photo orientation
I would like to rotate photos automatically, even when EXIF metadata about the image orientation is not available.
Are there any good algorithms for detecting the orientation of a photo? The images are photographs from a digital camera. The algorithm doesn't have to work perfectly, but any reduction in the amount of human interaction required to properly rotate photos would be a benefit.
I have found these two papers on the topic:
- Pre-Classification for Automatic Image Orientation (2006)
- A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues (2004)
Pointers to other research and especially implementations are appreciated.
Answer
Many photographs from consumer digital cameras are of people, which could be used for orientation. Face detection is a well-studied research area. Basic face detection would give you a rectangle whose longer side should be the vertical dimension. Further, if you can detect the eyes/mouth, you should be able to pick the correct orientation of the rectangle.
Many other photographs are tourist snaps, where the sky is up and blue, and the ground is down and green.