Accelerating face detection by means of image segmentation

B. Z. Shaick, L. Yaroslavsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In human face detection applications, faces most frequently occupy a minor part of images. Therefore, preliminary segmentation of images into regions that contain "nonface" objects and regions that may contain "face" objects can greatly accelerate the process of human face detection thanks to a substantial narrowing of the area of search for the face detection algorithm. In the paper, an efficient and fast algorithm of such segmentation is suggested. The algorithm is tested on CMU B-set face database, which includes 153 faces in 23 grayscale images. The quality of many of the images is very low, the background part ("nonface" regions) is complex and the scenes are of different illumination conditions. The testing results show that the algorithm reduces the area of search for the final face detection to less than 1% of the image area while missing only 2 faces from 153.

Original languageEnglish
Title of host publicationProceedings EC-VIP-MC 2003 - 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications
EditorsMislav Grgic, Sonja Grgic
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages411-416
Number of pages6
ISBN (Electronic)9531840547, 9789531840545
DOIs
StatePublished - 2003
Event4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications, EC-VIP-MC 2003 - Zagreb, Croatia
Duration: 2 Jul 20035 Jul 2003

Publication series

NameProceedings EC-VIP-MC 2003 - 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications
Volume1

Conference

Conference4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications, EC-VIP-MC 2003
Country/TerritoryCroatia
CityZagreb
Period2/07/035/07/03

Keywords

  • Acceleration
  • Adaptive filters
  • Face detection
  • Facial animation
  • Humans
  • Image databases
  • Image segmentation
  • Layout
  • Lighting
  • Testing

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