Automated entry system for printed documents
Pattern Recognition
Content-Based Ima e Orientation Detection with Support Vector Machines
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Detecting image orientation based on low-level visual content
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic image orientation determination with natural image statistics
Proceedings of the 13th annual ACM international conference on Multimedia
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
An experimental comparison of seven shape descriptors in the general shape analysis problem
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Automatic image orientation detection
IEEE Transactions on Image Processing
Hi-index | 0.00 |
The paper presents a new method for the determination of an image orientation -- the distinction between portrait- and landscape-oriented images. The algorithm can be applied to photographs taken outdoors. The approach is based on the use of a subpart of an image containing the sky. For determining the orientation the run of the standard deviation increment is analysed. It is obtained for the processed image and matched by means of correlation with the same characteristic of the sub-block of an image containing the sky.