Share Email Print

Proceedings Paper

Image orientation detection using low-level features and faces
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7537, Digital Photography VI, 75370R (18 January 2010); doi: 10.1117/12.838604
Show Author Affiliations
Gianluigi Ciocca, Univ. degli Studi di Milano-Bicocca (Italy)
Claudio Cusano, Univ. degli Studi di Milano-Bicocca (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)

Published in SPIE Proceedings Vol. 7537:
Digital Photography VI
Francisco Imai; Nitin Sampat; Feng Xiao, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?