Home   >   CSC-OpenAccess Library   >    Manuscript Information
3-D Face Recognition Using Improved 3D Mixed Transform
Hamid M. Hasan, Waleed A. AL.Jouhar , Majid A. Alwan
Pages - 11 - 23     |    Revised - 15-01-2012     |    Published - 21-02-2012
Volume - 6   Issue - 1    |    Publication Date - February 2012  Table of Contents
Face Recognition, 3-D Radon Transform, Particle Swarm Optimization (PSO), Wavelet Transform, Linear Discriminate Analysis (LDA)
This paper deals with the using of Improved 3D Mixed Transform (3D-IMT) for face recognition problem. The mixed transform consists; Fourier based 3D radon transform plus 1-D Wavelet transform (which is also known as 3D Ridgelet transform). The Mixed Transform is improved by using Particle swarm optimization ( PSO) , the improvement involves the selection of the best of directions for smart rectangle-to-polar transform as a part of the 3D Radon Transformation. The 3D-IMT is applied to the 3D representation of face images, and yields a few number of features, these features is projected into the maximized projection that achieves good recognition rate using the Linear Discriminant Analysis (LDA).
1 Google Scholar 
2 Academic Journals Database 
3 CiteSeerX 
4 refSeek 
5 Bielefeld Academic Search Engine (BASE) 
6 Scribd 
7 SlideShare 
8 PdfSR 
A. Godil, S. Ressler, and P. Grother. Face recognition using 3d facial shape and color map information: comparison and combination. In Proceedings of the SPIE The International Society for Optical Engineering, volume 5404, pages 351361, Nat.Inst. of Stand. & Technol., Gaithersburg, MD, USA, 2004. SPIE-Int. Soc. Opt. Eng.
Alec Banks, et al. " A review of particle swarm optimization. Part II: hybridization, combinatorial, multicriteria and constrained optimization, and indicative applications", Nat Comput (2008) 7:109-124, DOI 10.1007/s11047-007-9050-z.
Andera F. Abate, Michele Nappi, Daniel Riccio, Gabriele Sabatino, 2007, "2D and 3D face recognition: A survey", Pattern Recognition Letters 28(2007) 1885-1906.
Belhumeur PN, Hespanala JP, Kriegman DJ (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711-720.
C. Hesher, et al." A novel Technique for face recognition using range imaging", in: Seventh International Symposium on Signal Processing and Its Applications",2003 , pp.201-204.
C.Valens,1999-2004,"A Really Friendly Guide to Wavelets", ,available on Internet, questions goto wavelets@polyvalens.com.
Chang et al."Adaptive rigid multi-region selection for handling expression variation in 3D face recognition, in IEEE Workshop on Face Recognition Grand Challenge Expermints, June 2005.
Dimitrio Zarpalas, et al., 2004," 3D Model Search and Retrieval Based on the 3D Radon Transform",IEEE Communication Society.
Gupta, S. et al., 2010,"Texas 3D face recognition database", In Image analysis and interpretation ,2010 IEEE southwet symposium on, Austin,TX.
Gupta,S. Mia K. Markey and Alan C. Bovik,2007 ," Advances and Challenges in 3D and 2D+3D Human Face Recognition", In Pattern Recognition Research horizons, New York: Nova Science.
Gupta,S. Mia K. Markey and Alan C. Bovik,2010, " Anthropometric 3D Face Recognition", Int. J. Comput. Vis, Springer Science+Business Media LLC 2010.
Hong Pan, LiangZhengXia, and Truong Q.Nguyen," Robust Object detection Scheme using feature selectin", Proceeding of 2010 IEEE 17th International Conference on Image Processing , September 26-29, 2010, Hong Kong.
Irfanoglu, M. O. Golberk, B., & akarun L.(2004)." 3D shape based face recognition using automatically registered facial surfaces", in proceeding of the 17th international conference on pattern recognition, IEEE computer Society.
J. Y.Cartoux, et al., 1989," Face authentication or recognition by profile extraction from range images, in: proceedings of the Workshop on interpretation of 3D Scenes, 1989, pp.194-199.
Jahanbin S. et al."Automated facial Feature Detection and Face Recognition using Gabor Features on Range and Portrait Images",2008,(ICIP 2008),pp.2768-2771.
K. I. Chang, K. W. Bowyer, and P. J. Flynn. Multimodal 2d and 3d biometrics for face recognition. In Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on, pages 187194, 2003.
Kevin W. Bowyer, Kyong chang, Patrick Flynn, 2006, " A survey of approaches and challenges in 3d and multi-modal 3D+2D face recognition", Computer Vision and Image Understanding 101(2006) 1-15.
Lanzarini Laura , et al. " Face Recognition Using SIFT and Binary PSO Descriptors", 2010 Proceedings of the ITI 2010 32th Int. Conf. on Information technology Interfaces, June 21- 24,2010, Cavtat, Croatia.
Leandro dos Santos Coelho and Viviana Cocco Mariani, " A novel chaotic particle swarm ooptimization approach using Henon map and implicit filitering local search for load dispatch", Chaos, Solutions and Fractals 39(2009) 510-518.
Leandro dos Santos Coelho," A quantum particle swarm optimizer with chaotic mutation operator", Chaos, Solutions and Fractals 37 (2008) 1409-1418.
Lu et al.,"Matching 2.5D scans for face recognition " in: International conference on Patteren Recognition(ICPR 2004),pp.362-366.
M. Husken, M. Brauckmann, S. Gehlen, and C. Von der Malsburg. Strategies and benefits of fusion of 2d and 3d face recognition. In Computer Vision and Pattern Recognition, 2005 IEEE Computer Society Conference on, volume 3, pages 174182, 2005.
Millie Pant et al, "A New Quantum Behaved Particle Swarm Optimization",GECCO'08,July 12-16, 2008 Atlanta, Georgia. USA.
Ming Li, et al. " Application of Improved CPSO-SVM Approach in Face Recognition", 2009 Internaltional Conference on Artificial Intelligence and Com[utational Intelligence.
Nilima B. Kachare, Vandana S. Inamdar, 2010, " Survey of Face Recognition Tecchniques", International Journal of Computer Applications(0975-8887), Volum 1- No.19,2010.
O. Togla altinoz, et al. " Chaos Particle Swarm Optimization PID Controller for the Inverted Pendulum System", 2nd International Conference on Engineering Optimization, September 6-9, 2010, Lsbon, Portugal.
Osslan Osiris Aergara Villegas and Viancy Guadalupe," a Novel Evolutionary Face algorithm Using Particle Swarm Optimization ", 2009 Fith International Conference on Signal Image Technology and Internet Based Syetems.
Passalis, et al." Evaluation of face recognition in presence of facial expressions: an annoted deformable model approach, in: IEEE Workshop on FRGC Expermints, June,2005.
Patil A.M., Kolhe S.R. and Patil P.M., 2010,"2D Face Recognition Techniques:A Survay", International Journal of Machine Intelligence.
Qing Zhang, et al. " Fast Multi swarm Optimization with Cauchy Mutation and Crossover operation", Puplications of China University of Geosciences, School of Computer, Wuhan, P.R.China, 430074.
R. V. Kulkarni and G.K. Venayagamoorthy, " An Estimation of Distribution Improved Particle Swarm Optimization Algorithm", ISSNIP 2007.
Rabia Jafri and Hamid R. Arabnia , 2009,"A Survey of Face Recognition Techniques", Journal of Information Processing systems, Vol 5, No.2, June 2009.
Rajinda Senaratne, et al. " Face Recognition by Extending Elastic Bunch Graph Matching with Particle Swarm Optimization", Journal of Multimedia , VOL. 4, No. 4, August 2009.
Russ et al."3D facial recognition: a quantitative analysis, in 45-th Annual Meeting of the Institute of Nuckear Material Management (INMM), July 2004.
S. Gupta, M. K. Markey, J. K. Aggarwal, and A. C. Bovik. Three dimensional face recognition based on geodesic and euclidean distances. In Electronic Imaging, Vision Geometry XV, volume 6499 of Proc. of SPIE, San Jose, California, USA, Jan 28 -Feb 1 2007.
S. Gupta, M. P. Sampat, Z. Wang, M. K. Markey, and A. C. Bovik. 3d face recognition using the complex-wavelet structural similarity metric. In IEEE Workshop on Applications of Computer Vision, Austin, TX, 2007.
Shih wei Lin and shih chieh Chen, " PSOLDA: A particle swarm optimization approach for enhancing classification accuracy rate of linear discriminant analysis", Applied Soft Computing 9 (2009) 1008-1015.
Slvatore lanzavicchia and pier luigi " fast computation of 3D Radon Transform via a direct Fourier method",BIOINFORMATICS, vol.14 no.2 ,1998 pp212-216.
T. Maurer, D. Guigonis, I. Maslov, B. Pesenti, A. Tsaregorodtsev, D. West, and G. Medioni. Performance of geometrix activeidTM 3d face recognition engine on the frgc data. In Computer Vision and Pattern Recognition, 2005 IEEE Computer Society Conference on, volume 3, pages 154161, 2005.
T. Nagamine, et al. "3D facial image analysis for human identification, in International Conference on Pattern Recognition (ICPR 1992), pp.324-327.
Tang H. et al. 2011" 3d face recognition based on sparse representation", J. Supercomputer 58:84-95. Springer science+Business Media. LLC 2010.
Xiaorong Pu, Zhang YI, Zhongjie Fang," Holistic and partial facial features fution by binary particle swarm optimization", Neural Comput & Applic (2008) 17:481-488.
Yanj Yan, Ganapathi Kamath and Lisa ann Osadciw, " Feature Selection Optimization by Discrete Particle swarm Optimization for Face recognition", Syracuse University , Syracuse , NY, USA 13244.
Yanjun Yan and Lisa ann Osadciw, "Varying Dimensional Particle Swarm Optimization", 2008 IEEE swarm Intelligence symposim , St. Louis Mo USA, September 21-23,2008.
Mr. Hamid M. Hasan
University of technology - Iraq
Professor Waleed A. AL.Jouhar
College of Eng. /Electrical Eng. Dept - Iraq
Dr. Majid A. Alwan
Electrical Eng. Dept. - Iraq