Juan Tapia

Juan Tapia, Ph.D.

Position: Senior researcher
Office: D19 room 2.02
Email: juan.tapia-farias -at- {h-da | crisp-da}.de
Telephone: TBD

Dr. TAPIA received the BS. Degree in electronics engineering from Universidad Mayor in 2004, an M.Sc. degree in electrical engineering from the Universidad de Chile, in 2012, and the Ph.D. degree from the Department of Electrical Engineering, Universidad de Chile, in 2016. Also, I spent one year of Internship at the University of Notre Dame. From 2016 up to 2017 was an assistant professor at Universidad Andres Bello. From 2018 up to 2020 was an R+D Director for the Electronic and Electricity area at Universidad Tecnologica de Chile. In 2020 was Professor at USACH-DIINF and R+D Director on TOC Biometric. Currently, he is a Senior Biometric Researcher at Darmstadt University of Applied Sciences – Hochschule Darmstadt participating in iMars Projects. His main interests include Biometrics using machine learning and deep learning applied to presentation attack detection, soft-biometrics, efficient feature selection, and applied research.

Research interest

  • Differential Morphing Attack Detection
  • Biometric and multi-biometric systems
  • Iris Presentation Attack detection
  • Iris Segmentation in multiple Spectra
  • Industrial Application of Deep Learning and Machine Learning

Current Offerings

TBD

Publications

Journal Articles

  • C. Perez, Juan Tapia, P. Estevez, and C. Held, “Gender classification from face images using mutual information and feature fusion,” International Journal Optomechatronics, vol. 6, no. 1, pp. 92–119, 2012.  [Link]
  • Juan Tapia, Perez, C.A., “Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape,” IEEE Transactions on Information Forensics and Security, vol.8, no.3, pp.488,499, March 2013. [Link]
  • Juan E. Tapia; Perez, Claudio. A.; Bowyer Kevin W “Gender Classification from the Same Iris Code Used for Recognition “. IEEE Transaction Information Forensics and Security, vol. 11, no. 8, pp. 1760-1770, Aug. 2016. [Link]
  • Juan Tapia and Claudio A. Perez, “Gender Classification from NIR Images by using Quadrature Encoding Filters of the Most Relevant Features”, IEEE- Access 2019, Vol 7, pp 29114-29127, 2019. Open Access [Link]
  • Juan Tapia And Claudia Arellano “Soft-Biometrics Encoding Conditional GAN for Synthesis of NIR Periocular Images” Elsevier, Journal Future Generation Computer Systems, Volume 97, August 2019, Pages 503-511. [Link]
  • Ignacio Viedma, Juan Tapia, Andres Iturriaga and Christoph Busch, “Relevant features for Gender Classification in NIR Periocular Images” IET Biometrics 2019. Volume: 8, pp: 340 – 350 Issue: 5. [Link]
  • Juan Tapia, Claudio Perez “Clusters of Features Using Complementary Information applied to Gender Classification from Face ImagesIEEE- Access 2019. Vol.7 pp:79374 – 79387.  [Link]
  • A. Valenzuela, C. Arellano and Juan Tapia, „Towards an Efficient Segmentation Algorithm for Near-Infrared Eyes Images,“  IEEE Access, vol. 8, pp. 171598-171607, 2020. [Link]
  • S. Gonzalez, A. Valenzuela, and Juan Tapia, „Hybrid Two-Stage Architecture for Tampering Detection of Chipless ID Cards,“ IEEE Transactions on Biometrics, Behavior, and Identity Science. [Link]

Industrial Applications

  • Sebastian Gonzalez, Claudia Arellano, Juan Tapia, “DeepBlueBerry: Quantification of Blueberries in the Wild Using Instance Segmentation”, IEEE- Acess 2019, Vol.7. pp: 105776 – 105788. [Link]
  • Felipe I. San Martin and Claudio A. Perez and Juan E. Tapia and Shahzad Virani and Marcus J. Holzinger “Automatic space object detection on all-sky images from a synoptic survey synthetic telescope array” –Elsevier, Advances in Space Research 2019. [Link]
  • Lopez Droguett E, Tapia Juan, Yanez C, Boroschek R. Semantic segmentation model for crack images from concrete bridges for mobile devices. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. October 2020. [Link]
  • Grotte, M and Virani, S and Holzinger, M and Register, A and Perez, C and Tapia Juan, “All-Sky Image Fusion for a Synoptic Survey Telescope in Arctic and Antarctic Domains“, Advanced Maui Optical and Space Surveillance Technologies Conference, 2016.[Link]

Book Chapters

  • Juan E. Tapia, Chapter 8 called: Gender Classification from near-infrared Iris Images on IET Book series “Iris and Periocular Biometrics” Edited by the professor: Christian Rathged and Christoph Busch from Darmstadt University, Germany & Gjøvik University College, Norway 2017. [Link]
  • Juan E. Tapia and Carlos Aravena, Chapter 9 called: “Gender Classification from NIR Iris Images using Deep Learning” Edited by Bir Bhanu and Ajay Kumar, publish on Deep Learning for Biometrics on Springer 2017. [Link]
  • Juan Tapia, Claudia Arellano, Ignacio Viedma. Chapter 11 called: “Sex-classification from Cell-Phones Periocular Images “. Edited by Dr. Ajita Rattani, Dr. Reza Derakhshani, Prof. Arun Ross. Selfie Biometrics Book on Springer 2019 – Advances in Computer Vision and Pattern Recognition. [Link]

Conference Papers

  • Tapia, Juan.E.; Perez, Claudio.A.,” Gender Classification using One-Half Face and Feature Selection based on Mutual Information” IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013,  pp.3282,3287, 13-16 Oct. 2013. [Link]
  • Tapia Juan; Perez, Claudio.A.; Bowyer K.W “Gender Classification from Iris Images using Fusion of Uniform Local Binary Patterns “, Computer Vision – ECCV 2014 Workshops – Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. [Link]
  • Juan Tapia, C. Aravena, D. Schulz, C. Perez: “Gender classification on face images under challenging conditions of occlusions, low quality, and unconstrained environments”, ICCV workshop Forensic Application of Computer Vision (FACV), December 12, Santiago, CHILE. 2015. [Link]
  • Juan E. Tapia And Ignacio Viedma, “Gender Classification from Multispectral Periocular images”, International Joint Conference on Biometrics (IJCB-2017), Special Session: Ocular Biometrics in the Visible Spectrum, Denver, 2017,1-4 October.[Link]
  • Juan E. Tapia And Carlos Aravena, “Gender Classification from Periocular NIR Images using Fusion of Convolutional Neural Networks Models”, The IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Singapore, 10-14 January 2018. [Link]
  • Juan E. Tapia, Christian Rathgeb, and Christoph Busch, “Sex-Prediction from Periocular Images across Multiple Sensors and Spectra”, The 14th International Conference on Signal-Image Technology & Internet-Based Systems, November 26-29, Las Palmas, Gran Canarias, Spain, 2018. [Link]
  • Ignacio Viedma and Juan E. Tapia, “Deep Gender Classification and Visualization of Near-Infra-Red Periocular-Iris images”. The third International Conference on Image Processing, Application, and Systems, Inria Sophia, Antipolis, France, 2018.[Link]
  • Juan Tapia and Claudia Arellano, “Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features”,  IAPR International Conference on Biometrics (ICB-2019), 4-7 June, Crete, Greece. [Link]
  • Andres Valenzuela, Claudia Arellano, and Juan Tapia, “An Efficient Dense Network for Semantic Segmentation of Eyes Images Captured with Virtual Reality Lens”, 15th International Conference on Signal-Image Technology & Internet-Based Systems. 26-29 November 2019. Sorrento, Naples, Italy. [Link]
  • Molina, D., Causa, L. & Tapia, Juan., (2020). Toward to Reduction of Bias for Gender and Ethnicity from Face Images using Automated Skin Tone Classification. In: Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2020 – Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Bonn: Gesellschaft für Informatik e.V.. (S. 281-289). [Link]
  • Priyanka Das and Joseph McGrath and Zhaoyuan Fang and Aidan Boyd and Ganghee Jang and Amir Mohammadi and Sandip Purnapatra and David Yambay and Sébastien Marcel and Mateusz Trokielewicz and Piotr Maciejewicz and Kevin Bowyer and Adam Czajka and Stephanie Schuckers and Juan Tapia and Sebastian Gonzalez and Meiling Fang and Naser Damer and Fadi Boutros and Arjan Kuijper and Renu Sharma and Cunjian Chen and Arun Ross, Iris Liveness Detection Competition (LivDet-Iris) — The 2020 Edition, International Joint Conference on Biometrics (IJCB) Houston (USA), September 2020.[Link]
  • M. Vitek, A. Das, Y. Pourcenoux, A. Missler, C. Paumier, S. Das, I. De Ghosh, D. R. Lucio, L. A. Zanlorensi Jr., D. Menotti, F. Boutros, N. Damer, J. H. Grebe, A. Kuijper, J. Hu, Y. He, C. Wang, H. Liu, Y. Wang, Z. Sun, D. Osorio-Roig, C. Rathgeb, C. Busch, Juan Tapia, A. Valenzuela, G. Zampoukis, L. Tsochatzidis, I. Pratikakis, S. Nathan, R. Suganya, V. Mehta, A. Dhall, K. Raja, G. Gupta, J. N. Khiarak, M. Akbari-Shahper, F. Jaryani, M. Asgari-Chenaghlu, R. Vyas, S. Dakshit, S. Dakshit, P. Peer, U. Pal, V. Struc “SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment“, in Proc. International Joint Conference on Biometrics (IJCB) Houston (USA), September 2020. [Link]

Awards

  • 2020, Livedet, First Place [Link]
  • 2016, Best Ph.D. Thesis Award at Universidad de Chile, Electric Engineering Department.
  • 2014, Doctoral consortium, International Joint Conference on Biometrics IJCB 2014.
  • 2011, Ph.D. Award by CONICYT, Chile.