---
res:
  bibo_abstract:
  - We present a novel 3D face recognition approach based on geometric invariants
    introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation
    of the facial surface, invariant to isometric deformations, such as those resulting
    from different expressions and postures of the face. The obtained geometric invariants
    allow mapping 2D facial texture images into special images that incorporate the
    3D geometry of the face. These signature images are then decomposed into their
    principal components. The result is an efficient and accurate face recognition
    algorithm that is robust to facial expressions. We demonstrate the results of
    our method and compare it to existing 2D and 3D face recognition algorithms.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Alexander
      foaf_name: Bronstein, Alexander
      foaf_surname: Bronstein
      foaf_workInfoHomepage: http://www.librecat.org/personId=58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
    orcid: 0000-0001-9699-8730
  - foaf_Person:
      foaf_givenName: Michael M.
      foaf_name: Bronstein, Michael M.
      foaf_surname: Bronstein
  - foaf_Person:
      foaf_givenName: Ron
      foaf_name: Kimmel, Ron
      foaf_surname: Kimmel
  bibo_doi: 10.1007/3-540-44887-x_8
  bibo_volume: 2688
  dct_date: 2003^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0302-9743
  - http://id.crossref.org/issn/1611-3349
  - http://id.crossref.org/issn/9783540403029
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_title: Expression-invariant 3D face recognition@
...