Prof. dr. Peter Peer
Full Professor
Vice Dean for Economic Affairs
T: +386 1 479 8248
E:Send a message
Room: R2.08 - Kabinet
Description

Short biography: SciProfiles.

Main research topics: computer vision, biometrics.

 

Current highlights:

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

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.

Member of the Faculty senate.

 

Some past highlights:

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)

Awards

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: 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.

Projects
Past projects
Publications

(selected journal publications with impact factor (SCI))

  • 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 :.

 

.: LinkedIn page :.

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