Expression-Invariant 3D Face Recognition

By A. Bronstein, Michael M. Bronstein, Ron Kimmel. International Conference on Audio- and Video-Based Biometric Person Authentication, 2003

326 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/2d02a8225d0dae0e8c769fc60b1e674037c409e8

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In Computer Vision and Pattern Recognition

Citations in the corpus

A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition (2006, methodology): “[10] use an isometric transformation approach to 3D face analysis in an attempt to better cope with variation due to facial expression.”
Matching 2.5D face scans to 3D models (2006, unknown): “5D range images [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13].”
Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids (2006, methodology): “See, e.g. [27] for a method using discrete geodesic distances and multidimensional scaling to generate similar signature surfaces (that still need to be aligned for final comparison), and see [14] for an application to face recognition.”
Partial Similarity of Objects, or How to Compare a Centaur to a Horse (2009, background): “…shapes is an important direction emerging in the last decade in the pattern recognition community and arising in applications of face recognition (Bronstein et al. 2003, 2005), shape watermarking (Reuter et al. 2006), texture mapping and morphing (Bronstein et al. 2006b, 2007a), to mention a…”
Three-Dimensional Face Recognition (2005, background): “Our observations show that the deformations of the face resulting from facial expressions can be modelled as isometries (Bronstein et al., 2003b), such that the intrinsic geometric properties of the facial surface are expressioninvariant.”
Human Ear Recognition in 3D (2007, background): “More work on the 3D face biometrics can be found in [14], [15], [16], [17], [18], [19], [20].”
2D and 3D face recognition: A survey (2007, methodology): “Bronstein et al. (2003) facial surface representation: (a) texture mapp flattened texture and (d) the canonical image.”
On Bending Invariant Signatures for Surfaces (2003, background): “It has been recently shown that the high error introduced by restricting curved surfaces to a plane actually prevents the matching process of nontrivial objects [13].”