Face Recognition by SVMs Classification and Manifold Learning of 2D and 3D Radial Geodesic Distances (English)

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An original face recognition approach based on 2D and 3D Radial Geodesic Distances (RGDs), respectively computed on 2D face images and 3D face models, is proposed in this work. In 3D, the RGD of a generic point of a 3D face surface is computed as the length of the particular geodesic that connects the point with a reference point along a radial direction. In 2D, the RGD of a face image pixel with respect to a reference pixel accounts for the difference of gray level intensities of the two pixels and the Euclidean distance between them. Support Vector Machines (SVMs) are used to perform face recognition using 2D- and 3D-RGDs. Due to the high dimensionality of face representations based on RGDs, embedding into lower-dimensional spaces using manifold learning is applied before SVMs classification. Experimental results are reported for 3D-3D and 2D-3D face recognition using the proposed approach.

  • Title:
    Face Recognition by SVMs Classification and Manifold Learning of 2D and 3D Radial Geodesic Distances
  • Author / Creator:
  • Published in:
  • Publisher:
    The Eurographics Association
  • Place of publication:
    Postfach 8043, 38621 Goslar, Germany
  • Year of publication:
    2008
  • Size:
    8 pages
  • ISBN:
  • ISSN:
  • DOI:
  • Type of media:
    Conference paper
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Characterizing Shape Using Conformal Factors
Ben-Chen, Mirela / Gotsman, Craig | 2008
9
3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor
Papadakis, Panagiotis / Pratikakis, Ioannis / Theoharis, Theoharis / Passalis, Georgios / Perantonis, Stavros | 2008
17
Isometry-invariant Matching of Point Set Surfaces
Ruggeri, Mauro R. / Saupe, Dietmar | 2008
25
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Lavoué, Guillaume / Wolf, Christian | 2008
33
Part Analogies in Sets of Objects
Shalom, Shy / Shapira, Lior / Shamir, Ariel / Cohen-Or, Daniel | 2008
41
Similarity Score Fusion by Ranking Risk Minimization for 3D Object Retrieval
Akgül, Ceyhun Burak / Sankur, Bülent / Yemez, Yücel / Schmitt, Francis | 2008
49
A Neurofuzzy Approach to Active Learning based Annotation Propagation for 3D Object Databases
Lazaridis, Michalis / Daras, Petros | 2008
57
Face Recognition by SVMs Classification and Manifold Learning of 2D and 3D Radial Geodesic Distances
Berretti, Stefano / Bimbo, Alberto Del / Pala, Pietro / Mata, Francisco Josè Silva | 2008
65
A 3D Face Recognition Algorithm Using Histogram-based Features
Zhou, Xuebing / Seibert, Helmut / Busch, Christoph / Funk, Wolfgang | 2008
73
On-line and Open Platform for 3D Object Retrieval
Bonhomme, Benoit Le / Mustafa, B. / Celakovsky, Sasko / Preda, Marius / Preteux, Francoise / Davcev, D. | 2008