Face segmentation using combined bottom-up and top-down saliency maps

Zhang Qin Seak, Li Minn Ang, Kah Phooi Seng

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

This paper presents a simple color based segmentation technique for faces. The proposed technique utilizes saliency maps and incorporates both top-down (data driven) and bottom-up saliency methods to generate the saliency map used in the segmentation phase. The top-down approach uses skin color data obtained from a training database to bias the skin color saliency map while the bottom-up approach utilizes both the intensity and color features maps from the test image. The saliency map is computed from the center sound difference and normalization of the feature maps from both systems. Finally, a square moving window function is used to determine the point with the highest energy in the saliency map, which is marked as the facial region. The system shows good performance for subjects in both simple and complex backgrounds, as well as varying illumination conditions and skin color variances.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages477-480
Number of pages4
Volume5
DOIs
Publication statusPublished - 01 Nov 2010
Event2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
Duration: 09 Jul 201011 Jul 2010

Conference

Conference2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
CountryChina
CityChengdu
Period09/07/1011/07/10

Fingerprint

Color
Skin
Lighting
Acoustic waves

Cite this

Seak, Z. Q., Ang, L. M., & Seng, K. P. (2010). Face segmentation using combined bottom-up and top-down saliency maps. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 (Vol. 5, pp. 477-480). [5563915] https://doi.org/10.1109/ICCSIT.2010.5563915
Seak, Zhang Qin ; Ang, Li Minn ; Seng, Kah Phooi. / Face segmentation using combined bottom-up and top-down saliency maps. Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. Vol. 5 2010. pp. 477-480
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Seak, ZQ, Ang, LM & Seng, KP 2010, Face segmentation using combined bottom-up and top-down saliency maps. in Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. vol. 5, 5563915, pp. 477-480, 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, Chengdu, China, 09/07/10. https://doi.org/10.1109/ICCSIT.2010.5563915

Face segmentation using combined bottom-up and top-down saliency maps. / Seak, Zhang Qin; Ang, Li Minn; Seng, Kah Phooi.

Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. Vol. 5 2010. p. 477-480 5563915.

Research output: Book chapter/Published conference paperConference paper

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N2 - This paper presents a simple color based segmentation technique for faces. The proposed technique utilizes saliency maps and incorporates both top-down (data driven) and bottom-up saliency methods to generate the saliency map used in the segmentation phase. The top-down approach uses skin color data obtained from a training database to bias the skin color saliency map while the bottom-up approach utilizes both the intensity and color features maps from the test image. The saliency map is computed from the center sound difference and normalization of the feature maps from both systems. Finally, a square moving window function is used to determine the point with the highest energy in the saliency map, which is marked as the facial region. The system shows good performance for subjects in both simple and complex backgrounds, as well as varying illumination conditions and skin color variances.

AB - This paper presents a simple color based segmentation technique for faces. The proposed technique utilizes saliency maps and incorporates both top-down (data driven) and bottom-up saliency methods to generate the saliency map used in the segmentation phase. The top-down approach uses skin color data obtained from a training database to bias the skin color saliency map while the bottom-up approach utilizes both the intensity and color features maps from the test image. The saliency map is computed from the center sound difference and normalization of the feature maps from both systems. Finally, a square moving window function is used to determine the point with the highest energy in the saliency map, which is marked as the facial region. The system shows good performance for subjects in both simple and complex backgrounds, as well as varying illumination conditions and skin color variances.

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Seak ZQ, Ang LM, Seng KP. Face segmentation using combined bottom-up and top-down saliency maps. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. Vol. 5. 2010. p. 477-480. 5563915 https://doi.org/10.1109/ICCSIT.2010.5563915