HUMAN FACE DETECTION IN COLORED IMAGES BASED ON GAUSSIAN FILTERS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NASRABADI A.; AZADI S.; HADDADNIA J.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Modeling in Engineering Year:2009 | Volume:7 | Issue:17 Page(s): 0-0

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,256

Download:

Cites:

Information Journal Paper

Title

HUMAN FACE DETECTION IN COLORED IMAGES BASED ON GAUSSIAN FILTERS

Author(s)

NASRABADI A. | AZADI S. | HADDADNIA J. | Issue Writer Certificate

Keywords

FACE DETECTIONQ4

SKIN MODELQ4

YCBCR COLORED SPACEQ4

GAUSSIAN FILTERQ4

TEMPLATE MATCHINGQ4

Abstract

In this article a recommended method is introduced for face recognition in colored images, based on combination of TEMPLATE MATCHING, conversions of color filter. In this method, firstly based on the recommended GAUSSIAN FILTER, skin points of image based on a cluster including all the elements of skin are determined and by extraction of color elements, the standard of skin color separation is determined. Then the linked areas similar to skin color that are separated from different parts of image are introduced as recognized face by TEMPLATE MATCHING and based on a model. The results of simulation on an induced images bank show that the above mentioned method has not only a low positive and negative mean error but also a high resistance against noise.

Cites

No record.

References

No record.

Cite

APA: Copy

NASRABADI, A., AZADI, S., & HADDADNIA, J.. (2009). HUMAN FACE DETECTION IN COLORED IMAGES BASED ON GAUSSIAN FILTERS. JOURNAL OF MODELING IN ENGINEERING, 7(17), 0-0. SID. https://sid.ir/paper/358941/en

Vancouver: Copy

NASRABADI A., AZADI S., HADDADNIA J.. HUMAN FACE DETECTION IN COLORED IMAGES BASED ON GAUSSIAN FILTERS. JOURNAL OF MODELING IN ENGINEERING[Internet]. 2009;7(17):0-0. Available from: https://sid.ir/paper/358941/en

IEEE: Copy

A. NASRABADI, S. AZADI, and J. HADDADNIA, “HUMAN FACE DETECTION IN COLORED IMAGES BASED ON GAUSSIAN FILTERS,” JOURNAL OF MODELING IN ENGINEERING, vol. 7, no. 17, pp. 0–0, 2009, [Online]. Available: https://sid.ir/paper/358941/en

Related Journal Papers