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Original Article

Receptive field spaces and class-based generalization from a single view in face recognition

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Pages 551-576 | Received 22 Mar 1995, Published online: 09 Jul 2009

References

  • Amari S. Invariant structures of signal and feature spaces in pattern recognition problems. RAAG Memoirs 1968; 4: 553–66
  • Amari S. Feature spaces which admit and detect invariant signal transformations. Proc. 4th Int. Conf. Pattern Recognition, Tokyo, 1978; 452–6
  • Basri R. Recognition by prototypes A.I. Memo No. 1391, Artificial Intelligence Laboratory. Int. J. Computer Vision. Massachusetts Institute of Technology, Cambridge, MA 1992, in press
  • Beymer D, Shashua A, Poggio T. Example based image analysis and synthesis. A.I. Memo No. 1431, Artificial Intelligence Laboratory. Massachusetts Institute of Technology, Cambridge, MA 1993
  • Brigham J C. The influence of race on face recognition. Aspects of Face Processing, H D Ellis, et al. Martinus Nijhoff, Dordrecht 1986; 170–7
  • Carey S, Diamond R. From piecemeal to configurational representation of faces. Science 1977; 195: 312–4
  • Carey S, Diamond R, Woods B. Development of face recognition-a maturational component?. Developmental Psychology 1980; 16: 257–69
  • Diamond R, Carey S. Why faces are and are not special: an effect of expertise. J. Experimental Psychology 2 1986; 115: 107–17
  • Duvdevani-Bar S, Edelman S. On similarity to prototypes in 3D object representation. CS-TR 95-11. Weizmann Institute of Science. 1995
  • Edelman S. Representation, similarity, and the chorus of prototypes. Minds and Machines 1995; 5: 45–68
  • Edelman S, Reisfeld D, Yeshurun Y. Learning to recognize faces from examples. Proc. 2nd Eur. Conf. on Computer Vision, Sandini G. Springer, Berlin 1992; 787–91, Lecture Notes in Computer Science vol 588
  • Moody J, Darken C. Fast learning in networks of locally tuned processing units. Neural Comput. 1989; 1: 281–9
  • Moses Y, Edelman S, Ullman S. Generalization across illumination and orientation changes for inverted and upright faces. CS-TR 14. Weizmann Institute of Science. 1993
  • Newell F, Chiroro P, Valentine T. Recognising Unfamiliar Faces: the Effects of Distinctiveness and View 1995, in preparation
  • Poggio T, Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science 1990; 247: 978–82
  • Poggio T, Vetter T. Recognition and structure from one 2D model view: observations on prototypes, object classes, and symmetries. A.I. Memo No. 1347, Artificial Intelligence Laboratory. Massachusetts Institute of Technology, Cambridge, MA 1992
  • Snippe H P, Koenderink J J. Discrimination thresholds for channel-coded systems. Biol. Cybernet. 1992; 66: 543–51
  • Ullman S. Aligning pictorial descriptions: an approach to object recognition. Cognition 1989; 32: 193–254
  • Weiss Y, Edelman S. Representation of similarity as a goal of early visual processing. Cognition 1995; 6: 19–41
  • Wilson H R, Bergen J R. A A four mechanism model for threshold spatial vision. Vision Research 1979; 19: 19–32

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