Detection of face direction by implementing face edge patterns

Author

Khidr, Jarjis A.

Source

al- Rafidain Journal of Computer Sciences and Mathematics

Issue

Vol. 6, Issue 2 (31 Aug. 2009), pp.97-104, 8 p.

Publisher

University of Mosul College of Computer Science and Mathematics

Publication Date

2009-08-31

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Information Technology and Computer Science

Abstract EN

In this paper, a method for detecting the direction of a human face is developed ; regardless of its age or sex.

The method involves creating a set of five face patterns representing the front, up, down, left, and right directions of a face.

The face patterns are produced by applying Canny’s edge detection algorithm on some face files.

The direction of the input face is found by first applying the above algorithm on the input file and comparing it with the five face patterns.

The face pattern that gives minimum difference will represent the direction of the input face.

Excellent results were reported when applied on images with relatively clear background and the head were centered at the image area.

American Psychological Association (APA)

Khidr, Jarjis A.. 2009. Detection of face direction by implementing face edge patterns. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 6, no. 2, pp.97-104.
https://search.emarefa.net/detail/BIM-332138

Modern Language Association (MLA)

Khidr, Jarjis A.. Detection of face direction by implementing face edge patterns. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 6, no. 2 (2009), pp.97-104.
https://search.emarefa.net/detail/BIM-332138

American Medical Association (AMA)

Khidr, Jarjis A.. Detection of face direction by implementing face edge patterns. al- Rafidain Journal of Computer Sciences and Mathematics. 2009. Vol. 6, no. 2, pp.97-104.
https://search.emarefa.net/detail/BIM-332138

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 104

Record ID

BIM-332138