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Description and retrieval of 3D face models using iso-geodesic stripes

Published: 26 October 2006 Publication History

Abstract

In this paper, we propose an original framework for description and matching of three dimensional faces for recognition purposes. Basic traits of a face are encoded by extracting iso-geodesic stripes from the surface of a face model. A compact representation is then constructed through a modeling technique capable to express the basic shape of iso-geodesic stripes and quantitatively measure their spatial relationships in a three dimensional space. This information is encoded in an attributed relational graph. In this way,the structural similarity between two face models is evaluated by matching their corresponding graphs.Experimental results on a 3D face database and baseline comparison show that the proposed solution attains high face recognition accuracy and is reasonably robust to facial expression and pose changes.

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Cited By

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  • (2023)3D Face Recognition: Two Decades of Progress and ProspectsACM Computing Surveys10.1145/3615863Online publication date: 14-Aug-2023
  • (2023)Spatial relationship recognition via heterogeneous representation: A reviewNeurocomputing10.1016/j.neucom.2023.02.053533(116-140)Online publication date: May-2023
  • (2019)Features-Enhanced Multi-Attribute Estimation with Convolutional Tensor Correlation Fusion NetworkACM Transactions on Multimedia Computing, Communications, and Applications10.1145/335554215:3s(1-23)Online publication date: 15-Oct-2019
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      cover image ACM Conferences
      MIR '06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval
      October 2006
      344 pages
      ISBN:1595934952
      DOI:10.1145/1178677
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 26 October 2006

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      Author Tags

      1. 3D face recognition
      2. expression invariance
      3. geodesic distance
      4. spatial relationships
      5. weighted walkthroughs

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      MM06: The 14th ACM International Conference on Multimedia 2006
      October 26 - 27, 2006
      California, Santa Barbara, USA

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      Cited By

      View all
      • (2023)3D Face Recognition: Two Decades of Progress and ProspectsACM Computing Surveys10.1145/3615863Online publication date: 14-Aug-2023
      • (2023)Spatial relationship recognition via heterogeneous representation: A reviewNeurocomputing10.1016/j.neucom.2023.02.053533(116-140)Online publication date: May-2023
      • (2019)Features-Enhanced Multi-Attribute Estimation with Convolutional Tensor Correlation Fusion NetworkACM Transactions on Multimedia Computing, Communications, and Applications10.1145/335554215:3s(1-23)Online publication date: 15-Oct-2019
      • (2018)3D Face Recognition Using Spatial RelationsComputer Vision10.4018/978-1-5225-5204-8.ch026(679-706)Online publication date: 2018
      • (2018)3D Face Similarity Measure by Fréchet Distances of GeodesicsJournal of Computer Science and Technology10.1007/s11390-018-1814-733:1(207-222)Online publication date: 26-Jan-2018
      • (2016)Novel ear-assisted 3D face recognition under expression variationsInternational Journal of Biometrics10.1504/IJBM.2016.0771488:1(65-81)Online publication date: 1-Jan-2016
      • (2014)3D Face Recognition Using Spatial RelationsFace Recognition in Adverse Conditions10.4018/978-1-4666-5966-7.ch005(98-123)Online publication date: 2014
      • (2014)3D Facial Similarity Measure Based on Geodesic Network and CurvaturesMathematical Problems in Engineering10.1155/2014/8328372014:1Online publication date: 4-Nov-2014
      • (2014)3D face recognitionRobotics and Autonomous Systems10.1016/j.robot.2014.07.00962:12(1768-1776)Online publication date: 1-Dec-2014
      • (2014)About 3D FacesRegistration and Recognition in Images and Videos10.1007/978-3-642-44907-9_9(187-221)Online publication date: 2014
      • Show More Cited By

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