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

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.

Associate editor @ IEEE Access & IET 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 @ Applied Sciences (2020): Deep Image Semantic Segmentation and Recognition.

Coordinator of the double degree study programme with the Kyungpook National University, Južna Koreja.

Awards

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

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

Classes
Laboratory
Projects
Past projects
Publications

(selected journal publications with impact factor)

  • 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.

 

.: Google Scholar citations :.

.: ResearchGate profile :.

.: online publications @ LRV :.

.: online publications @ ePrints:.

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