Curriculum Vitae Dr. Dimitrios K. Tzovaras



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V. CITATIONS


This section presents in detail the list of known citations that the publications of Dr. Dimitrios Tzovaras have received. The number of all known citations is 1573, based on data from the following citation databases: Scopus, CiteSeer Google Scholar and Microsoft Academic Search. In the following list the citations per publication are presented, with the most cited publications appearing first.
[J32] F. Tsalakanidou, D. Tzovaras and M.G.Strintzis, "Use of Depth and Color Eigenfaces for Face Recognition", Elsevier Mathematics & Computer Science: Pattern Recognition Letters, vol. 24/9-10, pp. 1427-1435, June 2003. (119 citations)


  1. Sharma, R., & Patterh, M. S (2015). Face Recognition using Face Alignment and PCA Techniques: A Literature Survey.

  2. Zhong, G., Mao, X., Shi, Y., & Dong, J. (2015, September). 3D Texture Recognition for RGB-D Images. In Computer Analysis of Images and Patterns (pp. 518-528). Springer International Publishing.

  3. Wang, J., Zha, Q., Yang, Y., Liu, Y., Yang, B., Tu, D., & Su, G. (2015). Facial Stereo Processing by Pyramidal Block Matching. In Image and Graphics (pp. 252-260). Springer International Publishing.

  4. Kurtek, S., & Drira, H. (2015). A comprehensive statistical framework for elastic shape analysis of 3D faces. Computers & Graphics, 51, 52-59.

  5. Al-Qatawneh, S. M., & Jaber, K. M. (2015). Parallel Cascade Correlation Neural Network Methods for 3D Facial Recognition: A Preliminary Study. Journal of Computer and Communications, 3(05), 54.

  6. Bennamoun, M., Guo, Y., & Sohel, F. (2015). Feature selection for 2D and 3D face recognition. Encyclopedia of electrical and electronics engineering. Book Chapter, 1-54.

  7. Li, X., Ruan, Q., An, G., Jin, Y., & Zhao, R. (2015). Multiple strategies to enhance automatic 3D facial expression recognition. Neurocomputing, 161, 89-98.

  8. Zhou, H., Mian, A., Wei, L., Creighton, D., Hossny, M., & Nahavandi, S. (2014). Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey. Human-Machine Systems, IEEE Transactions on, 44(6), 701-716.

  9. Yang, U., Kang, M., Son, J., & Sohn, K. (2014). Image Color Registration for Illumination-Robust Pattern Recognition. Circuits, Systems, and Signal Processing, 33(12), 3839-3860.

  10. Jyothi, K., & Prabhakar, C. J. (2014). MULTI MODAL FACE RECOGNITION USING BLOCK BASED CURVELET FEATURES. International Journal of Computer Graphics & Animation, 4(2), 21.

  11. Jyothi, K., & Prabhakar, C. J. (2014). FUSION OF INTENSITY IMAGE AND STEREO DEPTH MAP FOR FACE RECOGNITION BASED ON CURVELET TRANSFORM. Journal of Intelligence Systems, 4(1), 41.

  12. Vijayalakshmi, G. V., Raj, A. N. J., & Ashok Varma, S. V. S. K. (2014, October). Optimum selection of features for 2D (color) and 3D (depth) face recognition using modified PCA (2D). In Smart Structures and Systems (ICSSS), 2014 International Conference on (pp. 1-7). IEEE.

  13. Bala, P. M., & Kalaiselvi (2014), A. BIOMETRIC APPLICATION: TEXTURE AND SHAPE BASED 3D FACE RECOGNITION.

  14. Nanni, L., Lumini, A., Dominio, F., & Zanuttigh, P. (2014). Effective and precise face detection based on color and depth data. Applied Computing and Informatics, 10(1), 1-13.

  15. Yin, S., Dai, X., Ouyang, P., Liu, L., & Wei, S. (2014). A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps. Sensors, 14(10), 19561-19581.

  16. Zhang, D., & Lu, G. (2013). 3D Face Verification System. In 3D Biometrics (pp. 257-278). Springer New York.

  17. Werghi, Naoufel, Nesrine Bnouni, and Sami Gazzah. "3D face matching using structured ordered facial patterns." Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on. IEEE, 2013.

  18. Werghi, Naoufel. "Face-tree: A compact discrete 3D face shape representation." Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on. IEEE, 2013.

  19. Li, Si, and Hong E. Ren. "New Camera Parameters Calibration Method of Binocular Vision System." Advanced Materials Research 712 (2013): 2372-2377.

  20. Halim, S. A., Hamid, A., Hamimah, N., Md Yusoff, N., Ali, A. M., Osman, R., & Ahmad, R. (2012, August). The development of a flies species recognition system. In Information Technology in Medicine and Education (ITME), 2012 International Symposium on (Vol. 1, pp. 503-507). IEEE.

  21. Guo, J., Mei, X., & Tang, K. (2012). Automatic landmark annotation and dense correspondence registration for 3D human facial images. ArXiv preprint arXiv: 1212.4920.

  22. Werghi, N., Rahayem, M., & Kjellander, J. (2012). An ordered topological representation of 3D triangular mesh facial surface: Concept and applications.EURASIP Journal on Advances in Signal Processing2012(1), 144.

  23. Yu, S., Kim, J., & Lee, S. (2012). Thermal 3D modeling system based on 3-view geometry. Optics Communications.

  24. Zhao, K. (2012). 3D face recognition based on a modified iterative closest point method.

  25. Lu, Yuwu. "A Novel Method for Color Face Recognition." Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on. IEEE, 2012.

  26. Trojahn, Matthias, and Philipp Marcus. "Towards coupling user and device locations using biometrical authentication on smartphones." Internet Technology And Secured Transactions, 2012 International Conferece For. IEEE, 2012.

  27. Jasek, P., Rofidal, C., Nasrollahi, K., Moeslund, T. B., & Tranchet, G. (2012, November). An RGB-D Database Using Microsoft's Kinect for Windows for Face Detection. In Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on (pp. 42-46). IEEE.

  28. Rahat, M., Nazari, M., Bafandehkar, A., Ghidary, S. S., Marand, I., & Dezful, I. (2012). Improving 2D Boosted Classifiers Using Depth LDA Classifier for Robust Face Detection.

  29. van den Hurk, Y. (2012).Gender classification with visual and depth images(Doctoral dissertation, Tilburg University).

  30. Padmapriya, S., & KalaJames, E. A. (2012, January). Real time smart car lock security system using face detection and recognition. In Computer Communication and Informatics (ICCCI), 2012 International Conference on (pp. 1-6). IEEE.

  31. Parmar, Y. (2012). Efficient 3D face recognition based on PCA.

  32. Santemiz, Pinar, Luuk J. Spreeuwers, and Raymond NJ Veldhuis. "Video-based Side-view Face Recognition for Home Safety." (2012): 220-227.

  33. Textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion, Di Huang;   Ben Soltana, W.;   Ardabilian, M.;   Yunhong Wang;   Liming Chen, Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on, Issue Date: 20-25 June 2011, On page(s): 1 – 8, Location: Colorado Springs, CO

  34. A comparative study of preprocessing mismatch effects in color image based face recognition, Jae Young Choi, Yong Man Ro, Konstantinos N. Plataniotis, Pattern Recognition, Volume 44, Issue 2, February 2011, Pages 412-430

  35. Face detection and recognition method based on skin color and depth information, Junfeng Qian;   Shiwei Ma;   Zhonghua Hao;   Yujie Shen, Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on, Issue Date: 16-18 April 2011, On page(s): 345 – 348, Location: XianNing, Print ISBN: 978-1-61284-458-9

  36. Geometric Features of 3D Face and Recognition of It by PCA, Y Lei, H Lai… - Journal of Multimedia, 2011 – academypublisher.com

  37. Objective 3D face recognition: Evolution, approaches and challenges, Dirk Smeets, Peter Claes, Dirk Vandermeulen, and John Gerald Clement, Forensic Science International, Volume 201, Issues 1-3, 10 September 2010, Pages 125-132, Meeting of the International Organization of Forensic Odonto-Stomatology

  38. Rapid stereo-vision enhanced face detection, Kosov, S.; Scherbaum, K.; Faber, K.; Thormahlen, T.; Seidel, H.-P. Image Processing (ICIP), 2009 16th IEEE International Conference on, On page(s): 1221 - 1224 , Location: Cairo, Date of Current Version: Jan2010

  39. Are Correlation Filters Useful for Human Action Recognition?, Saad Ali, Simon Lucey, 2010 20th International Conference on Pattern Recognition, Istanbul, Turkey, August 23-August 26, ISBN: 978-0-7695-4109-9

  40. A comparative study of preprocessing mismatch effects in color image based face recognition, Jae YoungChoi a,n, YongManRo a, KonstantinosN.Plataniotis, Pattern Recognition, August 2010. doi:10.1016/j.patcog.2010.08.020

  41. Comparison of 2D/3D Features and Their Adaptive Score Level Fusion for 3DFace Recognition, Wael Ben Soltana, Di Huang, Mohsen Ardabilian, Liming Chen, Proceedings of 3DPVT2010, Espace Saint Martin, Paris, France, May 17-20 2010

  42. 3D Face Recognition Using Iso-geodesic Stripes, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, ISSN:0162-8828.

  43. 3D Skull Recognition Using 3D Matching Technique, Hamdan.O.Alanazi, B.B Zaidan, A.A Zaidan, JOURNAL OF COMPUTING, VOLUME 2, ISSUE 1, JANUARY 2010, ISSN 2151-9617, HTTPS://SITES.GOOGLE.COM/SITE/JOURNALOFCOMPUTING/

  44. Bronstein, A., Bronstein, M., & Kimmel, R. (2009). Three-dimensional face recognition, U.S. Patent No. 7,623,687. Washington, DC: U.S. Patent and Trademark Office.

  45. Hameed, S. A., Zaidan, B. B., Zaidan, A. A., Naji, A. W., & Faroq, O. (2009). Novel Simulation Framework of Three-Dimensional Skull Bio-Metric Measurement. Shibab A. Hameed et al/International Journal on Computer Science and Engineering, 1(3), 269-274.

  46. Rashad, E. A., Hamdy, A., Saleh, M. A., & Eladawy, M. (2009). 3D face recognition using 2DPCA. IJCSNS, 9(12), 149.

  47. 3D Face Recognition, Berk G¨okberk, Albert Ali Salah, Lale Akarun, Remy Etheve, Daniel Riccio, D. Petrovska-Delacr´etaz et al. (eds.), Guide to Biometric Reference Systems 263, and Performance Evaluation, DOI 10.1007/978-1-84800-292-0 9, _c Springer-Verlag London Limited 2009

  48. A Survey of Face Recognition Techniques, Rabia Jafri and Hamid R. Arabnia, Journal of Information Processing Systems, Vol.5, No.2, June 2009

  49. Iterative three-dimensional head pose estimation using a face normal vector, Sunjin Yu, Joongrock Kim, and Sangyoun Lee Opt. Eng., Vol. 48, 037204 (2009), doi:10.1117/1.3102989, Published 31 March 2009, Issue 3 / Machine Vision, Pattern Recognition

  50. Comparison of Spectral-Only and Spectral/Spatial Face Recognition for Personal Identity Verification, Zhihong Pan, Glenn Healey, and Bruce Tromberg, Hindawi Publishing Corporation, EURASIP Journal on Advances in Signal Processing, Volume 2009, Article ID 943602, 6 pages, doi:10.1155/2009/943602

  51. Comparison of Spectral-Only and Spectral/Spatial Face Recognition for Personal Identity Verification, Zhihong Pan, Glenn Healey and Bruce Tromberg, EURASIP Journal on Advances in Signal Processing, Volume 2009 (2009), Article ID 943602, 6 pages
    doi:10.1155/2009/943602

  52. 3D Face Recognition: Technology and Applications, Berk G¨okberk, Albert Ali Salah, Nes¸e Aly¨ uz, and Lale Akarun, M. Tistarelli et al. (eds.), Handbook of Remote Biometrics, Advances, in Pattern Recognition, DOI 10.1007/978-1-84882-385-3 9, C _Springer-Verlag London Limited 2009

  53. Normal maps vs. visible images: Comparing classifiers and combining modalities, Andrea Francesco Abate, Maria De Marsico, Stefano Ricciardi and Daniel Riccio, Journal of Visual Languages & Computing, Volume 20, Issue 3, June 2009, Pages 156-168, ADVANCES IN MULTIMODAL BIOMETRIC SYSTEMS - Multimodal Biometrics

  54. Investigation of facial artifacts on face biometrics using eigenface based single and multiple neural networks, K.Sundaraj, WSEAS Transactions on Systems, Vol.8, Issue 1, January 2009, Pages 127-136

  55. Compact Signatures for 3D Face Recognition under Varying Expressions, Fahad Daniyal, Prathap Nair, Andrea Cavallaro, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, Genova, Italy, September 02-04 2009

  56. MULTI-MODAL (2-D AND 3-D) FACE MODELING AND RECOGNITION USING, ATTRIBUTED RELATIONAL GRAPH, Mohammad H. Mahoor, A-Nasser Ansari, and Mohamed Abdel-Mottaleb, Proceedings of ICIP 2008.

  57. Performance Analysis of the ARIA Adaptive Media Processing Workflows using Colored Petri Nets, Maurizio Garelli, Marco Gribaudo, Electronic Notes in Theoretical Computer Science, Volume 232, 26 March 2009, Pages 55-73, Proceedings of the Third International Workshop on the Practical Application of Stochastic Modelling (PASM 2008)

  58. Image Level Fusion Method for Multimodal 2D + 3D Face Recognition, Gede Putra Kusuma and Chin-Seng Chua, ICIAR 2008, LNCS 5112, pp. 984–992, 2008._c Springer-Verlag Berlin Heidelberg 2008

  59. Handbook of biometrics, Anil K. Jain,Patrick Flynn,Arun Abraham Ross, ISBN -13:978-0-387-71040-2, 2008 Springer Science+Business Media, LLC.

  60. Frontal Face Recognition from Video, Angshul Majumdar and Panos Nasiopoulos, G. Bebis et al. (Eds.): ISVC 2008, Part II, LNCS 5359, pp. 297–306, 2008. © Springer-Verlag Berlin Heidelberg 2008

  61. A multimodal approach for 3D face modeling and recognition using 3D deformable facial mask, A-Nasser Ansari, Mohamed Abdel-Mottaleb and Mohammad H. Mahoor, Machine Vision and Applications, Volume 20, Number 3 / April, 2009, Thursday, January 24, 2008.

  62. Using backpropagation neural network for face recognition with 2D + 3D hybrid information, Te-Hsiu Sun and Fang-Chih Tien, Expert Systems with Applications, Volume 35, Issues 1-2, July-August 2008, Pages 361-372

  63. Pattern recognition in biology, Marsha S. Corrigan, PATTERN Recognition in Biology, pp.63-103, ISBN 978-1-60021-716-6, 2007 Nova Science Publishers, Inc.

  64. Fusion of Appearance Image and Passive Stereo DepthMap for Face Recognition Based on the Bilateral 2DLDA, Jian-GangWang, Hui Kong, Eric Sung, Wei-Yun Yau, and Eam Khwang Teoh, Hindawi Publishing Corporation, EURASIP Journal on Image and Video Processing, Volume 2007, Article ID 38205, 11 pages, doi:10.1155/2007/38205

  65. Three Dimensional Face Recognition using Wavelet Decomposition of Range Images, Jahanbin, S.   Hyohoon Choi   Bovik, A.C.   Castleman, K.R., Image Processing, 2007. ICIP 2007. IEEE International Conference on, Publication Date: Sept. 16 2007-Oct. 19 2007
    Volume: 1,  On page(s): I - 145-I – 148

  66. 3D Face Recognition using Euclidean Integral Invariants Signature, Feng, S.   Krim, H.   Kogan, I. A., Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on, Publication Date: 26-29 Aug. 2007, On page(s): 156-160

  67. Design, Implementation and Evaluation of Hardware Vision Systems dedicated to Real-Time Face Recognition, Ginhac Dominique, Yang Fan and Paindavoine Michel, Source: Face Recognition, Book edited by: Kresimir Delac and Mislav Grgic, ISBN 978-3-902613-03-5, pp.558, I-Tech, Vienna, Austria, June 2007

  68. Face recognition using 2D and disparity eigenface, Te-Hsiu Sun, Mingchih Chen, Shuchuan Lo, Fang-Chih Tien, Expert Systems with Applications, Volume 33, Issue 2, August 2007, Pages 265-273

  69. Real-time Stereo Face Recognition by Fusing Appearance and Depth Fisherfaces, JIAN-GANG WANG, ENG THIAM LIM, XIANG CHEN AND RONDA VENKATESWARLU, Journal of VLSI Signal Processing 49, 409–423, 2007, 2007 Springer Science + Business Media, LLC. Manufactured in The United States.

  70. Face recognition using facial shape indices with two different three-dimensional sensors, Hwanjong Song, Hyoungchul Shin, Sangyoun Lee, and Kwanghoon Sohn,, Opt. Eng., Vol. 46, 067201 (2007); doi:10.1117/1.2744386, Published 5 June 2007, Issue 6 / Machine Vision, Pattern Recognition

  71. A Feature-level Fusion of Appearance and Passive Depth Information for Face Recognition

  72. Jian-Gang Wang, Kar-Ann Toh, Eric Sung and Wei-Yun Yau, Face Recognition, Book edited by:Kresimir Delac and Mislav Grgic, ISBN978-3-902613-03-5, pp.558, I-Tech,Vienna, Austria, June2007

  73. Development of Face Recognition System Using Multi-views Database, Xiaojuan Liu   Jianwu Dang   Fan Yang   Paindavoine, M., Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on, Publication Date: 16-18 Dec. 2007, On page(s): 1013-1019

  74. GPU Accelerated 3D Face Registration / Recognition, Andrea Francesco Abate, Michele Nappi, Stefano Ricciardi, and Gabriele Sabatino, S.-W. Lee and S.Z. Li (Eds.): ICB 2007, LNCS 4642, pp. 938–947, 2007., © Springer-Verlag Berlin Heidelberg 2007

  75. FAST 3D FACE ALIGNMENT AND IMPROVED RECOGNITION, THROUGH PYRAMIDAL NORMAL MAP METRIC, Andrea F. Abate, Michele Nappi, Stefano Ricciardi, Gabriele Sabatino, ICIP 2007, 2007 IEEE, pp157-160

  76. 2D and 3D face recognition: A survey , Andrea F. Abate, Michele Nappi, Daniel Riccio and Gabriele Sabatino, Pattern Recognition Letters, Volume 28, Issue 14, 15 October 2007, Pages 1885-1906, Image: Information and Control

  77. 3D shape-based face representation and feature extraction for face recognition, Berk Gökberk, M. Okan İrfanoğlu and Lale Akarun, Image and Vision Computing, Volume 24, Issue 8, 1 August 2006, Pages 857-869

  78. Description and retrieval of 3D face models using iso-geodesic stripes, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, International Multimedia Conference, Proceedings of the 8th ACM international workshop on Multimedia information retrieval, Pages: 13 - 22, Year of Publication: 2006

  79. MULTI-MODAL FACE RECOGNITION BY MEANS OF AUGMENTED NORMAL MAP AND PCA, Andrea F. Abate, Michele Nappi, Stefano Ricciardi, Gabriele Sabatino, ICIP 2006, 1424404819/06/$20.00 ©2006 IEEE

  80. Fast Image Mosaicing for Panoramic, Face Recognition, Fan Yang, Michel Paindavoine, Hervé Abdi*, Dominique Arnou, JOURNAL OF MULTIMEDIA, VOL. 1, NO. 2, MAY 2006

  81. Cross sensor 3D face recognition performance, Timothy Faltemier and Kevin Bowyer, Proc. SPIE, Vol. 6202, 620201 (2006); doi:10.1117/12.662744, Online Publication Date: 17 April 2006, Three-dimensional and IR Face

  82. Three-dimensional view-invariant face recognition using, a hierarchical pose-normalization strategy, Martin D. Levine · Ajit Rajwade, Machine Vision and Applications (July 2006) 17:309–325, DOI 10.1007/s00138-006-0036-0

  83. A COMPARISON OF DATA REPRESENTATION TYPES, FEATURE TYPES AND FUSION TECHNIQUES FOR 3D FACE BIOMETRY, Helin Duta_acı(1), Bülent Sankur(1), and Yücel Yemez, 14th European Signal Processing Conference (EUSIPCO 2006), Florence, Italy, September 4-8, 2006

  84. 3D Face Recognition Using Parallel Pyramid Neural Networks, Xue Yuan, Jianming Lu and Takashi Yahagi, IEEJ Transactions on Electronics, Information and Systems, Vol.126, No. 8, 2006, pp.963-971.

  85. Reliable face recognition methods: system design, implementation and evaluation, Harry Wechsler, 2007 Springer Science+Business Media, LLC, ISBN-13:978-0-387-22372-8

  86. A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition, Kevin W. Bowyer, Kyong Chang and Patrick Flynn, Computer Vision and Image Understanding Volume 101, Issue 1, January 2006, Pages 1-15

  87. Three-dimensional Face Recognition, A.Bronstein, m.Bronstein, R.Kimmel, United States Patent Application publication, Pub.No.:US2006/0251298a1, Nov.9,2006.

  88. Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression, Chang, K.I.   Bowyer, W.   Flynn, P.J., Pattern Analysis and Machine Intelligence, IEEE Transactions on, Publication Date: Oct. 2006, Volume: 28,  Issue: 10, On page(s): 1695-1700

  89. Adaptive Rigid Multi-region Selection for Handling Expression Variation in 3D Face Recognition, Kyong I. Chang   Bowyer, K.W.   Flynn, P.J., Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
    Publication Date: 25-25 June 2005, On page(s): 157-157

  90. Comparing and combining depth and texture cues for face recognition, Chiraz BenAbdelkader and Paul A. Griffin, Image and Vision Computing, Volume 23, Issue 3, 1 March 2005, Pages 339-352

  91. 3D FACE RECOGNITION FOR BIOMETRIC APPLICATIONS, L. Akarun, B. G¨okberk, A.A. Salah, SIGNAL PROCESSING CONFERENCE. EUROPEAN. 13TH 2005

  92. Face Recognition Using 3D Local Geometrical Features: PCA vs. SVM, Ana Belén Moreno, Ángel Sánchez, José Fco. Vélez and Fco. Javier Díaz, Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on, Publication Date: 15-17 Sept. 2005, On page(s): 185- 190

  93. Gabor Filter Bank Representation for 3D Face Recognition, Jamie Cook, Vinod Chandran, Sridha Sridharan and Clinton Fookes, Proceedings of the Digital Image Computing on Techniques and Applications, Page: 4, Year of Publication: 2005

  94. Gabor Filter Bank Representation for 3D Face Recognition, Cook, J.   Chandran, V.   Sridharan, S.   Fookes, C., Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005, Publication Date: 06-08 Dec. 2005

  95. A method of 3D face recognition based on principal component analysis algorithm, Xue Yuan   Jianming Lu Takashi Yahagi, Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on, Publication Date: 23-26 May 2005, On page(s): 3211- 3214 Vol. 4.

  96. Voxel-based 3D face representations for recognition, A. B. Moreno, A. Sánchez, J. F. Vélez, 12th Int. Workshop on Systems, Signals & Image Processing, 22-24 September 2005, Chalkida, Greece

  97. Fast Panoramic Face Mosaicing and Recognition, Fan Yang, Michel Paindavoine, Hervé Abdi, Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis (2005)

  98. A Method of 3D Face Recognition Based on Contour Maps, Xue Yuan, Jianming Lu, Takashi Yahagi, IEEE Transactions on Electronics, Information and Systems, Vol.125(2005), No 3, pp.426-434.

  99. A New Algorithm for Handling Expression Variation in 3D Face Recognition, Kyong I. Chang KevinW. Bowyer Patrick J. Flynn, Computer Vision and Pattern Recognition (CVPR), 2005, San Diego, California

  100. Panoramic face mosaicing and recognition using multi-cameras, Fan Yang, Michel Paindavoine, Herve Abdi*, Dominique Arnoult, IEEE SITIS 2005, pp.22-27

  101. A Survey Of 3D and Multi-Modal 3D+2D Face Recognition, Kevin W. Bowyer, Kyong Chang, and Patrick Flynn, A short version appears in International Conference on Pattern Recognition (ICPR) 2004.

  102. K.W. Bowyer, Kyong Chang, and P. J. Flynn, “A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition”, Computer Vision and Image Understanding in press.

  103. Y. Wang, M.-C. Chiang, and P.M. Thompson, "Mutual Information-based 3D Surface Matching with Applications to Face Recognition and Brain Mapping", 10th IEEE International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005.

  104. M.M. Bronstein, A.M. Bronstein and R. Kimmel, “Three-Dimensional Face Recognition”, International Journal of Computer Vision, Vol. 64, No 1, August 2005, pp. 5-30.

  105. Berk Gökberk, Albert Ali Salah and Lale Akarun, “Rank-Based Decision Fusion for 3D Shape-Based Face Recognition”, in Proc. 5th Int. Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA2005, Hilton Rye Town, NY, USA, July 20-22, 2005.

  106. Alize Scheenstra, Arnout Ruifrok and Remco C. Veltkamp, “A Survey of 3D Face Recognition Methods”, in Proc. 5th Int. Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA2005, Hilton Rye Town, NY, USA, July 20-22, 2005.

  107. G. S. Gill and M. D. Levine, “Searching for the Holy Grail: A Completely Automated 3D Morphable Model”, Technical Report, Centre for Intelligent Machines (CIM), McGill University, Montreal, QC, Canada, 2005.

  108. Kyong I. Chang, K. W. Bowyer and P J. Flynn, “ARMS: Adaptive Rigid Multi-region Selection for Handling Expression Variation in 3D Face Recognition”, IEEE Workshop on Face Recognition Grand Challenge Experiments, 2005

  109. Alize Scheenstra, “3D Facial Image Comparison using Landmarks: A study to the discriminating value of the characteristics of 3D facial landmarks and their automated detection”, Master thesis: INF/SCR-04-54, Netherlands Forensic Institute, Institute of Information and Computing Sciences, Utrecht University, February 2005

  110. H, Song, S, Lee, J, Kim and K. Sohn, “Three-dimensional sensor-based face recognition”, Applied Optics, Vol. 44, No. 5, pp. 677-687, February 2005.

  111. Fan Yang, M. Paindavoine H.Abdi and A. Monopoli, “Development of a fast panoramic face mosaicing and recognition system”, Optical Engineering, Vol. 44, 2005.

  112. Ajit Rajwade, “Facial Pose Estimation and FaceRecognition from Three-Dimensional Data”, Master Thesis, School of Computer Science, McGill University, Montreal, QC, Canada, 2004.

  113. Kyong I. Chang, “New Mutibiometric Approaches for Improved Personal Identification”, Phd Thesis, University of Notre Dame, Notre Dame, Indiana, USA, December 2004.

  114. Mingquan Zhou, Xiaoning Liu and Guohua Geng, “3D Face Recognition Based on Geometrical Measurement”, in S.Z. Li et al. (Eds.): Sinobiometrics 2004, LNCS 3338, pp. 244–249, December 2004, Springer-Verlag.

  115. M.E. Algorri and A. Escobar, “Facial Gesture Recognition for Interactive Applications”, in Proc. 5th Int. Conference on Computer Science (ENC 2004), pp. 188- 195, Mexico, September 2004.

  116. K.W. Bowyer, K. Chang, and P. Flynn, “A Survey of approaches to three-dimensional face recognition”, in Proc. 17th International Conference on Pattern Recognition (ICPR 04), Vol.1, pp. 358 – 361, Cambridge, UK, August 2004.

  117. K. Chang, K. Bowyer, P. Flynn and X. Chen, “Evaluation of Multi-modal Biometrics Using Appearance, Shape and Temperature”, in Proc. 6th IEEE Int. Confrerence on Face and Gesture Recognition, pp. 43-48, Seoul, Korea, May 2004.

  118. K.J. Gaston and M.A. O’Neill, “Automated species identification: why not?”, in Philolosophical Trans. Royal Society London, Series Biological Issues, Theme Issue “Taxonomy for the twentyfirst century”, Vol. 359, No. 1444, pp. 655-667, April 2004.

  119. K. Chang, K. W. Bowyer, P. J. Flynn, and X. Chen, “Evaluation of Multi-modal Biometrics Using Appearance, Shape and Temperature”, in Proc. SPIE Conference on Biometric Technology for Human Identification, Vol. 5404, pp. 1-4, Orlando, Florida, USA, April 2004.

[J25] N. V. Boulgouris, D. Tzovaras and M. G. Strintzis, "Lossless image compression based on optimal prediction, adaptive lifting and conditional arithmetic coding," IEEE Trans. Image Process, Jan. 2001. (95 citations)




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