3D Face Recognition

Ajmal Mian, N. Pears

    Research output: Chapter in Book/Conference paperChapterpeer-review


    Face recognition using standard 2D images struggles to cope with changes in illumination and pose. 3D face recognition algorithms have been more successful in dealing with these challenges. 3D face shape data is used as an independent cue for face recognition and has also been combined with texture to facilitate multimodal face recognition. Additionally, 3D face models have been used for pose correction and calculation of the facial albedo map, which is invariant to illumination. Finally, 3D face recognition has also achieved significant success towards expression invariance by modeling non-rigid surface deformations, removing facial expressions or by using parts-based face recognition. This chapter gives an overview of 3D face recognition and details both well-established and more recent state-of-the-art 3D face recognition techniques in terms of their implementation and expected performance on benchmark datasets.
    Original languageEnglish
    Title of host publication3D Imaging, Analysis and Applications
    EditorsNick Pears, Yonghuai Liu, Peter Bunting
    Place of PublicationUK
    ISBN (Print)9781447140627
    Publication statusPublished - 2012


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