Automatic pose correction for local feature-based face authentication

Daniel González-Jiménez, Federico Sukno, José Luis Alba-Castro, Alejandro F Frangi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this paper, we present an automatic face authentication system. Accurate segmentation of prominent facial features is accomplished by means of an extension of the Active Shape Model (ASM) approach, the so-called Active Shape Model with Invariant Optimal Features (IOF-ASM). Once the face has been segmented, a pose correction step is applied, so that frontal face images are synthesized. For the generation of these virtual images, we make use of a subset of the shape parameters extracted from a training dataset and Thin Plate Splines texture mapping. Afterwards, sets of local features are computed from these virtual images. The performance of the system is demonstrated on configurations I and II of the XM2VTS database.

Original languageEnglish
Title of host publicationArticulated Motion and Deformable Objects - 4th International Conference, AMDO 2006, Proceedings
PublisherSpringer-Verlag Italia
Number of pages10
ISBN (Print)354036031X, 9783540360315
Publication statusPublished - 2006
Event4th International Conference on Articulated Motion and Deformable Objects, AMDO 2006 - Port d'Andratx, Mallorca, Spain
Duration: 11 Jul 200614 Jul 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4069 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Articulated Motion and Deformable Objects, AMDO 2006
CityPort d'Andratx, Mallorca


  • Automatic Segmentation
  • Face Authentication
  • Pose Correction


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