Image orientation detection using low-level features and faces

Gianluigi Ciocca; Claudio Cusano; Raimondo Schettini

doi:10.1117/12.838604

18 January 2010 Image orientation detection using low-level features and faces

Gianluigi Ciocca, Claudio Cusano, Raimondo Schettini

Proceedings Volume 7537, Digital Photography VI; 75370R (2010) https://doi.org/10.1117/12.838604
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

Correct image orientation is often assumed by common imaging applications such as enhancement, browsing, and retrieval. However, the information provided by camera metadata is often missing or incorrect. In these cases manual correction is required, otherwise the images cannot be correctly processed and displayed. In this work we propose a system which automatically detects the correct orientation of digital photographs. The system exploits the information provided by a face detector and a set of low-level features related to distributions in the image of color and edges. To prove the effectiveness of the proposed approach we evaluated it on two datasets of consumer photographs.

Citation Download Citation

Gianluigi Ciocca, Claudio Cusano, and Raimondo Schettini "Image orientation detection using low-level features and faces", Proc. SPIE 7537, Digital Photography VI, 75370R (18 January 2010); https://doi.org/10.1117/12.838604

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