Towards intelligent photo composition-automatic detection of unintentional dissection lines in environmental portrait photos

Expert Systems with Applications

Volumn 36, Issue 5, 2009, Pages 9024-9030

  Shen, C T ^a   Liu, J C ^a   Shih, S W ^a   Hong, J S ^a  

^a NATIONAL CHI NAN UNIVERSITY   (Taiwan)

Author keywords

Aesthetic computing; Portrait composition; Unintentional dissection lines

Indexed keywords

DIGITAL CAMERAS;

AESTHETIC COMPUTING; AUTOMATIC DETECTIONS; DETECTION RATES; DIGITAL STILL CAMERAS; EXPERIMENTAL EVALUATIONS; FACE DETECTIONS; FALSE DETECTIONS; LIGHT EXPOSURES; PORTRAIT COMPOSITION; RELATED FUNCTIONS; SHUTTER SPEED; STRAIGHT LINE DETECTIONS; UNINTENTIONAL DISSECTION LINES;

EDGE DETECTION;

EID: 60849110812     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.12.041     Document Type: Article

References (15)

1. Canny F.J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8 6 (1986) 679-698
2. Cavalcanti, R. M. C., Gomes, H., & Guerra, W. (2006). Towards automating photographic composition of people. In IASTED international conference on visualization, imaging, and image processing, pp. 25-30.
3. Duda R.O., and Hart P.E. Use of the Hough transformation to detect lines and curves in pictures. Communications of the ACM 15 1 (1972) 11-15
4. Flickr. Available from .
5. Haritaoglu I., Harwood D., and Davis L.S. W4: Real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 (2000) 809-830
6. Iwasawa S., Ebihara K., Ohya J., and Morishima S. Real-time estimation of human body posture from monocular thermal images. Conference on Computer Vision and Pattern Recognition (1997) 15-20
7. Miyake, T., & Soga, T. Digital still camera with composition advising function, and method of controlling operation of same. . Accessed 01.08.2008.
8. Mikic I., Trivedi M.M., Hunter E., and Cosman P.C. Articulated body posture estimation from multi-camera voxel data. Conference on Computer Vision and Pattern Recognition (2001) 455-462
9. Osuna E., Freund R., and Girosi F. Training support vector machines: An application to face detection. Conference on Computer Vision and Pattern Recognition (1997) 30-136
10. Picasa. Available from .
11. Rowley H.A., Baluja S., and Kanade T. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 1 (1998) 23-38
12. Suarez, F., & Arnaldo, L., Picture composition guidance system. . Accessed 02.16.1999.
13. Sung K.K., and Poggio T. Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 1 (1998) 39-51
14. Viola P., and Jones M. Robust real-time object detection. International Journal of Computer Vision 57 2 (2004) 137-154
15. Webb A. Statistical pattern recognition (2003), John Wiley and Sons