3D Face Matching Based on Depth-Level Curves


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


In the domain of 3D face matching, many techniques have been developed as variants of 3D facial matching approaches that reduce the amount of facial data into few 3D curves. In the literature, many curves have been considered: level-curves, radial curves, iso-stripes, crest lines, etc... In this paper, we exploit curve concept to represent 3D facial geometric. First, depth-level curves were extracted to present 3D facial data then, we investigate the dimensionality reduction offered by Random Projection to perform an artificial system for face recognition using Back-propagation neural network. Experiment was conducted using vrml files from FRAV Database considering only one training sample per person.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


3D Face Recognition; Depth-Level Curves; Neural Network Classifier; Random Projection

Full Text:

PDF


References


J.Luo, J.Ni, Z. Xiao, H. Zhang, 3D/4D Face Recognition: a Comprehensive Survey, International Review on Computers and Software ( IRECOS), pp. 35-42, 2013.

T. Khadhraoui, F. Benzarti, H. Amiri, Approximation of 3D Face Model, International Review on Computers and Software ( IRECOS),pp. 810-815, 2013.

C. samir, A. Srivastava, M. Daoudi, Three-Dimensional Face Recognition Using Shapes of Facial Curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1858-1863, 2006.

S. Jahanbin, H. Choi, Y. Liu, A.C. Bovik, Three Dimensional Face Recognition Using Iso-Geodesic and Iso-Depth Curves, Biometrics: Theory, Applications, and Systems ( pp. 1-6, 2008).

F. B. ter Haar, R. C. Veltkamp, A 3D face matching framework for facial curves, Graphical Models, pp. 77–91, 2009.

S. Berretti, A. Del Bimbo,3D Face Recognition using iso-Geodesic Stripes , Pattern Analysis and Machine Intelligence, pp. 2162 – 2177, 2010.

L. Ballihi, B. Ben Amor, M. Daoudi, A. Srivastava, D. Aboutajdine, Selecting 3D Curves on the Nasal Surface using AdaBoost for Person Authentication, Eurographics Workshop on 3D Object Retrieval (2011).

L. Ballihi, B. Ben Amor, M. Daoudi, A. Srivastava, D.Aboutajdine,Which 3D Geometric Facial Features Give Up Your Identity ?, EEE International Conference on Biometrics, India (pp.119-124, 2012).

H. Drira, B. Ben Amor, A. Srivastava, M. Daoudi, S. Rim,3D face recognition under expressions, occlusions, and pose variations, Pattern Analysis and Machine Intelligence, pp. 2270-2283, 2013.

M.A. Krishna, Random projections and applications to dimensionality reduction, Ph.D. Thesis, Sydney, 2007.

D. Fradkin, D. Madigan, Experiments with random projection for machine learning, International Conference on Knowledge Discovery and Data Mining (2003).

R.Bellman, Adaptive Control Processes: A Guided Tour (Princeton University Press, 1961).

D.Achlioptas,Database-friendly random projections:Johnson-Lindenstrauss with binary coins0, Journal of Computer and System Sciences, 2003.

N. Belghini, A. Zarghili, J. Kharroubi, A. Majda, Sparse Random Projection and Dimensionality Reduction Applied on Face Recognition, International Conference on Intelligent Systems & Data Processing, India( pp. 78-82, 2011).


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize