Prof. dr. Peter Peer
Full Professor
T: +386 1 479 8248
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Room: R2.08 - Kabinet
Description

Short biography: SciProfiles.

Main research topics: computer vision, biometrics.

 

Current highlights:

Associate editor @ IEEE Access & IET Biometrics, topics editor @ MDPI Applied Sciences.

Coordinator of the double degree study programme with the Kyungpook National University, South Korea.

Member of the Faculty management board (2018-).

Member of the Faculty senate (2021-).

 

Some past highlights:

Vice-dean for economic affairs (2018-2022).

Special issue co-guest editor @ Applied Sciences (2021-22): Deep Image Semantic Segmentation and Recognition.

Guest professor @ the North-Caucasus Federal University, Russia, 2020-21.

Co-organizer of the Sclera Segmentation Benchmarking Competition @ 2020 IEEE/IAPR International Joint Conference on Biometrics.

Co-organizer of the Unconstrained Ear Recognition Challenge @ 2019 IAPR International Conference on Biometrics & 2017 IAPR/IEEE International Joint Conference on Biometrics.

Special issue co-guest editor @ IEEE Access (2020): Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications.

Special issue co-guest editor @ IET Biometrics (2018): Unconstrained Ear Recognition.

Guest professor @ the Kyungpook National University, South Korea, 6-7/2017.

Invited researcher @ CEIT institute & their spin-off Asiris Vision Technologies SA, Spain, 2004-5.

 

Doctoral students:

  • Andrej Ikica: Text detection in natural scene images (2009-2013)
  • Jure Kovač: Gait recognition (2010-2014)
  • Žiga Emeršič: Ear recognition (2015-2021)
  • Blaž Meden: Face deidentification (2016-)
  • Matej Vitek: Sclera recognition (2018-)
  • Peter Rot: Face privacy preservation (2019-)
  • Tim Oblak: Fingermarks quality assessment (2020-) (with European Comission Joint Research Center, Ispra, Italy)
  • Ajda Lampe: Virtual try-on (2021-)
  • Nicolas Larue: Deep-fakes detection (2021-) (within EUTOPIA university alliance)
  • Darian Tomašević: Artificial generation of photorealistic images of biometrical modalities due to privacy concern

Awards

Feb. 2023, Privacy–Enhancing Face Biometrics: A Comprehensive Survey has been identified as being one of the IEEE Signal Processing Society’s top 25 downloaded articles from Sep. 2021-Sep. 2022 for IEEE Transactions on Information Forensics and Security on IEEE Xplore.

Winner of the SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data @ 2022 IEEE/IAPR International Joint Conference on Biometrics (Ivanovska, Batagelj, Kronovšek, Peer, Štruc).

Top 20 cited papers (ranked #7) in 2021 in the section "Computing and Artificial Intelligence" @ Applied Sciences.

Best reviewer @ 2021 IEEE/IAPR International Joint Conference on Biometrics.

Winner of the Sclera Segmentation Benchmarking Competition @ 2018 IAPR International Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).

Best theoretical paper award @ IEEE IWOBI 2018: Analysis of content-aware image compression with VGG16 (Selimović, Meden, Peer, Hladnik).

Winner of the Sclera Segmentation and Eye Recognition Benchmarking Competition @ 2017 IEEE/IAPR International Joint Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).

Best student paper award @ IFMBE MEDICON 2007: Using computer vision in a rehabilitation method of a human hand (Katrašnik, Veber, Peer).

Student Faculty Prešeren award, 1998.

 

My doctoral students awards:

Žiga Emeršič: University award for young university teachers and researchers, 2022.

Tim Oblak: Faculty research award for PhD students, 2022.

Benjamin Fele, Ajda Lampe: Faculty research award for PhD students, 2022.

Žiga Emeršič: European Association for Biometrics - Max Snijder award (& Best presentation award), 2021.

Tim Oblak: student Faculty Prešeren award, 2021.

Blaž Meden, Peter Rot: Faculty research award for PhD students, 2021.

Peter Rot: student University Prešeren award, 2018.

Žiga Emeršič: Faculty research award for PhD students, 2017.

Classes
Laboratory
Projects
Past projects
Publications

(selected journal publications with impact factor (SCI))

  • S. Kumar, S. Singh, P. Peer, Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor, Image and Vision Computing, 2023.

  • A. Hrovatič, P. Peer, V. Štruc, Ž. Emeršič, Efficient ear alignment using a two-stack hourglass network, IET Biometrics (accepted for publication), 2023.

  • M. Vitek, P. Peer, V. Štruc, et al., Exploring bias in sclera segmentation models: a group evaluation approach, IEEE transactions on information forensics and security, 2022.

  • D. Tomašević, P. Peer, F. Solina, A. Jaklič, V. Štruc, Reconstructing superquadrics from intensity and color images, Sensors, 2022.

  • T. Oblak, R. Haraksim, P. Peer, L. Beslay, Fingermark quality assessment framework with classic and deep learning ensemble models, Knowledge-Based Systems, 2022.

  • Ž. Emeršič, D. Sušanj, B. Meden, P. Peer, V. Štruc, ContexedNet: context-aware ear detection in unconstrained settings, IEEE Access, 2021.

  • B. Meden, P. Rot, P. Terhörst, N. Damer, A. Kuijper, W. J. Scheirer, A. Ross, P. Peer, V. Štruc, Privacy–Enhancing Face Biometrics: A Comprehensive Survey, IEEE Transactions on Information Forensics and Security, 2021.

  • B. Batagelj, P. Peer, V, Štruc, S. Dobrišek, How to Correctly Detect Face-Masks for COVID-19 from Visual Information?, Applied Sciences, 2021.

  • T. Oblak, J. Šircelj, V. Štruc, P. Peer, F. Solina, A. Jaklič, Learning to predict superquadric parameters from depth images with explicit and implicit supervision, IEEE Access, 2021.

  • M. Vitek, P. Rot, V. Štruc, P. Peer, A comprehensive investigation into sclera biometrics: a novel dataset and performance study, Neural computing & applications, 2020.

  • J. Križaj, P. Peer, V. Štruc, S. Dobrišek, Simultaneous multi-descent regression and feature learning for facial landmarking in depth images, Neural Computing and Applications, 2019.

  • Ž. Emeršič, B. Meden, P. Peer, V. Štruc, Evaluation and analysis of ear recognition models: performance, complexity and resource requirement, Neural Computing and Applications, 2018.

  • Ž. Emeršič, L. L. Gabriel, V. Štruc, P. Peer, Convolutional Encoder-Decoder Networks for Pixel-wise Ear Detection and Segmentation, IET Biometrics, 2018.
  • B. Meden, Ž. Emeršič, V. Štruc, P. Peer, k-Same-Net: k-Anonymity with generative deep neural networks for face deidentification, Entropy, 2018.
  • J. Kovač, V. Štruc, P. Peer, Frame-based classification for cross-speed gait recognition, Multimedia Tools and Applications, 2017.
  • B. Meden, R. C. Mallı, S. Fabijan, H. K. Ekenel, V. Štruc, P. Peer, Face Deidentification with Generative Deep Neural Networks,  IET Signal Processing, 2017.
  • N. Sušin, P. Peer, Open-source tool for interactive digitization of pluviograph strip charts, Weather, 2017.
  • Ž. Emeršič, V. Štruc, P. Peer, Ear recognition: more than a survey, Neurocomputing, 2017.
  • A. Jaklič, L. Šajn, G. Derganc, P. Peer, Automatic digitization of pluviograph strip charts, Meteorological Applications 23(1), pp. 57-64, 2016.
  • R. Kreslin, Pilar M. Calvo, Luis G. Corzo, Peter Peer, Linear chromatic adaptation transform based on delaunay triangulation, Mathematical Problems in Engineering 2014, 9 pages, 2014.
  • P. Peer, Ž. Emeršič, J. Bule, J. Žganec Gros, V. Štruc, Strategies for exploiting independent cloud implementations of biometric experts in multibiometric scenarios, Mathematical Problems in Engineering 2014, 15 pages, 2014.
  • J. Kovač, P. Peer, Transformation based walking speed normalization for gait recognition, Transactions on Internet and Information Systems 7(11), pp. 2690-2701, 2013.
  • J. Kovač, P. Peer, Human skeleton model based dynamic features for walking speed invariant gait recognition. Mathematical Problems in Engineering 2014, 15 pages, 2014.
  • A. Ikica, P. Peer, SWT voting-based color reduction for text detection in natural scene images, EURASIP Journal on Advances in Signal Processing 2013(95), pp. 1-26, 2013.
  • P. Peer, L. G. Corzo, Local pixel value collection algorithm for spot segmentation in two-dimensional gel electrophoresis research, Comparative and Functional Genomics 7(1), pp. 77-85, 2007.
  • P. Peer, F. Solina, Where physically is the optical center?, Pattern Recognition Letters 27(10), pp. 1117-1121, 2006.
  • L. G. Corzo, J. A. Penaranda, P. Peer, Estimation of a fluorescent lamp spectral distribution for color image in machine vision, Machine Vision and Application 16(5), pp. 306-311, 2005.
  • P. Peer, F. Solina, Panoramic Depth Imaging: Single Standard Camera Approach, International Journal of Computer Vision 47(1/2/3), pp. 149-160, 2002.

 

.: whole bibliography :.


.: Google Scholar citations :.

.: ResearchGate profile :.

.: online publications @ LRV :.

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.: IEEE Xplore profile :.

.: ORCID profile :.

.: SciProfiles :.

 

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