Image orientation detection with integrated human perception cues (or which way is up)

In this paper, we propose a set of human perceptual cues used jointly to automatically detect image orientation. The cues used are: orientation of faces, position of the sky, brighter regions, and textured objects, and symmetry. We combine these cues in a Bayesian framework, and the photo acquiring model has been considered carefully as the prior knowledge of the image orientation. Results on more than a thousand different images provide a compelling argument that our approach is a viable one.

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: Lei Wang, Xu Liu, Lirong Xia, Guangyou Xu, Alfred M. Bruckstein
• Keywords: Compelling Argument, Human Perceptual Cues, ICIP 2003, Image Orientation, Image Processing, Photo Acquiring Model