Range face segmentation: Face detection and segmentation for authentication in mobile device range images

Rainhard D. Findling, Fabian Wenny, Clemens Holzmann, René Mayrhofer

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

3 Citations (Scopus)

Abstract

Face detection (finding faces of different perspectives in images) is an important task as prerequisite to face recognition. This is especially difficult in the mobile domain, as bad image quality and illumination conditions lead to overall reduced face detection rates. Background information still present in segmented faces and unequally normalized faces further decrease face recognition rates. We present a novel approach to robust single upright face detection and segmentation from different perspectives based on range information (pixel values corresponding to the camera-object distance). We use range template matching for finding the face's coarse position and gradient vector flow (GVF) snakes for precisely segmenting faces. We further evaluate our approach on range faces from the u'smile face database, then perform face recognition using the segmented faces to evaluate and compare our approach with previous research. Results indicate that range template matching might be a good approach to finding a single face; in our tests we achieved an error free detection rate and average recognition rates above 98%/96% for color/range images.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013
Pages260-269
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2013
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Advances in Mobile Computing and Multimedia - Vienna, Austria
Duration: 2 Dec 20134 Dec 2013
Conference number: 11

Conference

ConferenceInternational Conference on Advances in Mobile Computing and Multimedia
Abbreviated titleMoMM
CountryAustria
CityVienna
Period02/12/201304/12/2013

Keywords

  • face detection
  • face segmentation
  • mobile device
  • Range images
  • snakes
  • template matching

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