Authors:
Muntasser A. Wahsh Department of Computer Science, Informatics Institute for Postgraduate Studies, Iraqi Commission for Computers and Informatics, Baghdad, Iraq

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Zainab M. Hussain Department of Political Science, College of Law and Political Science, Al-Iraqia University, Baghdad, Iraq

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Abstract

This paper introduces a stereoscopic image and depth dataset created using a deep learning model. It addresses the challenge of obtaining accurate and annotated stereo image pairs with irregular boundaries for deep learning model training. Stereoscopic image and depth dataset provides a unique resource for training deep learning models to handle irregular boundary stereoscopic images, which are valuable for real-world scenarios with complex shapes or occlusions. The dataset is created using monocular depth estimation, a state-of-the-art depth estimation model, and it can be used in applications like rectifying images, estimating depth, detecting objects, and autonomous driving. Overall, this paper presents a novel dataset that demonstrates its effectiveness and potential for advancing stereo vision and developing deep learning models for computer vision applications.

  • [1]

    B. Rogers and M. Graham, “Similarities between motion parallax and stereopsis in human depth perception,” Vis. Res ., vol. 22, no. 2, pp. 261270, 1982.

    • Search Google Scholar
    • Export Citation
  • [2]

    P. Li, X. Chen, and S. Shen, “Stereo R-CNN based 3D object detection for autonomous driving,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, June 15–20, 2019, pp. 76447652.

    • Search Google Scholar
    • Export Citation
  • [3]

    W. S. Kim, D. H. Lee, Y. J. Kim, T. Kim, W. S. Lee, and C. H. Choi, “Stereo-vision-based crop height estimation for agricultural robots,” Comput. Electron. Agric., vol. 181, 2021, Art no. 105937.

    • Search Google Scholar
    • Export Citation
  • [4]

    Y. Zhang, Y. K. Lai, and F. L. Zhang, “Stereoscopic image stitching with rectangular boundaries,” Vis. Comput., vol. 35, pp. 823835, 2019.

    • Search Google Scholar
    • Export Citation
  • [5]

    R. Ranftl, K. Lasinger, D. Hafner, K. Schindler, and V. Koltun, “Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 44, no. 3, pp. 16231637, 2020.

    • Search Google Scholar
    • Export Citation
  • [6]

    L. Nie, C. Lin, K. Liao, S. Liu, and Y. Zhao, “Deep rectangling for image stitching: A learning baseline,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA, June 19–20, 2022, pp. 57305738.

    • Search Google Scholar
    • Export Citation
  • [7]

    A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the kitti vision benchmark suite,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16–21, 2012, pp. 33543361.

    • Search Google Scholar
    • Export Citation
  • [8]

    M. Z. Wong, K. Kunii, M. Baylis, W. H. Ong, P. Kroupa, and S. Koller, “Synthetic dataset generation for object-to-model deep learning in industrial applications,” PeerJ Comput. Sci., vol. 5, 2019, Art no. e222.

    • Search Google Scholar
    • Export Citation
  • [9]

    T. Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie, “Feature pyramid networks for object detection,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, July 21–26, 2017, pp. 21172125.

    • Search Google Scholar
    • Export Citation
  • [10]

    N. Mayer, E. Ilg, P. Häusser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox, “A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, June 27–30, 2016, pp. 40404048.

    • Search Google Scholar
    • Export Citation
  • [11]

    J. R. Chang and Y. S. Chen, “Pyramid stereo matching network,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, June 18, 2018, pp. 54105418.

    • Search Google Scholar
    • Export Citation
  • [12]

    A. Kendall, H. Martirosyan, S. Dasgupta, P. Henry, R. Kennedy, ABachrach, and A. Bry, “End-to-end learning of geometry and context for deep stereo regression,” in Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy, October 22–29, 2017, pp. 6675.

    • Search Google Scholar
    • Export Citation
  • [13]

    D. Scharstein and R. Szeliski, “A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,” Int. J. Comput. Vis., vol. 47, pp. 742, 2002.

    • Search Google Scholar
    • Export Citation
  • [14]

    T. Schöps, J. L. Schönberger, S. Galliani, T. Sattler, K. Schindler, MPollefeys, and A. Geiger, “A multi-view stereo benchmark with high-resolution images and multi-camera videos,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, July 21–26, 2017, pp. 32603269.

    • Search Google Scholar
    • Export Citation
  • [15]

    T. Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár, “Focal loss for dense object detection,” in Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy, October 22–29, 2017, pp. 29802988.

    • Search Google Scholar
    • Export Citation
  • [16]

    M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, RBenenson, U. Franke, S. Roth, and B. Schiele, “The cityscapes dataset for semantic urban scene understanding,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, June 27–30, 2016, pp. 32133223.

    • Search Google Scholar
    • Export Citation
  • [17]

    Y. You, Y. Wang, W. L. Chao, D. Garg, G. Pleiss, B. Hariharan, M. Campbell, and K. Q. Weinberger, “Pseudo-lidar++: Accurate depth for 3D object detection in autonomous driving,” in The Eleventh International Conference on Learning Representations, Kigali Rwanda, May 1–5, 2019, pages 122.

    • Search Google Scholar
    • Export Citation
  • [18]

    R. Fan, H. Wang, P. Cai, J. Wu, M. J. Bocus, L. Qiao, and M. Liu, “Learning collision-free space detection from stereo images: Homography matrix brings better data augmentation,” IEEE/ASME Trans. Mechatronics, vol. 27, no. 1, pp. 225233, 2021.

    • Search Google Scholar
    • Export Citation
  • [19]

    H. Gao, X. Liu, M. Qu, and S. Huang, “Pdanet: Self-supervised monocular depth estimation using perceptual and data augmentation consistency,” Appl. Sci., vol. 11, no. 12, 2021, Art no. 5383.

    • Search Google Scholar
    • Export Citation
  • [20]

    Z. A. Hasan, S. M. Hadi, and W. A. Mahmoud, “Time domain speech scrambler based on particle swarm optimization,” Pollack Period., vol. 18, no. 1, pp. 161166, 2023.

    • Search Google Scholar
    • Export Citation
  • [21]

    L. Kota and K. Jármai, “Improving optimization using adaptive algorithms,” Pollack Period., vol. 16, no. 1, pp. 1418, 2021.

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Editor(s)-in-Chief: Iványi, Amália

Editor(s)-in-Chief: Iványi, Péter

 

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Miklós M. Iványi

Editorial Board

  • Bálint Bachmann (Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Jeno Balogh (Department of Civil Engineering Technology, Metropolitan State University of Denver, Denver, Colorado, USA)
  • Radu Bancila (Department of Geotechnical Engineering and Terrestrial Communications Ways, Faculty of Civil Engineering and Architecture, “Politehnica” University Timisoara, Romania)
  • Charalambos C. Baniotopolous (Department of Civil Engineering, Chair of Sustainable Energy Systems, Director of Resilience Centre, School of Engineering, University of Birmingham, U.K.)
  • Oszkar Biro (Graz University of Technology, Institute of Fundamentals and Theory in Electrical Engineering, Austria)
  • Ágnes Borsos (Institute of Architecture, Department of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Matteo Bruggi (Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Italy)
  • Petra Bujňáková (Department of Structures and Bridges, Faculty of Civil Engineering, University of Žilina, Slovakia)
  • Anikó Borbála Csébfalvi (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Mirjana S. Devetaković (Faculty of Architecture, University of Belgrade, Serbia)
  • Szabolcs Fischer (Department of Transport Infrastructure and Water Resources Engineering, Faculty of Architerture, Civil Engineering and Transport Sciences Széchenyi István University, Győr, Hungary)
  • Radomir Folic (Department of Civil Engineering, Faculty of Technical Sciences, University of Novi Sad Serbia)
  • Jana Frankovská (Department of Geotechnics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia)
  • János Gyergyák (Department of Architecture and Urban Planning, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Kay Hameyer (Chair in Electromagnetic Energy Conversion, Institute of Electrical Machines, Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Germany)
  • Elena Helerea (Dept. of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, Romania)
  • Ákos Hutter (Department of Architecture and Urban Planning, Institute of Architecture, Faculty of Engineering and Information Technolgy, University of Pécs, Hungary)
  • Károly Jármai (Institute of Energy and Chemical Machinery, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Hungary)
  • Teuta Jashari-Kajtazi (Department of Architecture, Faculty of Civil Engineering and Architecture, University of Prishtina, Kosovo)
  • Róbert Kersner (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Rita Kiss  (Biomechanical Cooperation Center, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary)
  • István Kistelegdi  (Department of Building Structures and Energy Design, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Stanislav Kmeť (President of University Science Park TECHNICOM, Technical University of Kosice, Slovakia)
  • Imre Kocsis  (Department of Basic Engineering Research, Faculty of Engineering, University of Debrecen, Hungary)
  • László T. Kóczy (Department of Information Sciences, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, University of Győr, Hungary)
  • Dražan Kozak (Faculty of Mechanical Engineering, Josip Juraj Strossmayer University of Osijek, Croatia)
  • György L. Kovács (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Balázs Géza Kövesdi (Department of Structural Engineering, Faculty of Civil Engineering, Budapest University of Engineering and Economics, Budapest, Hungary)
  • Tomáš Krejčí (Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic)
  • Jaroslav Kruis (Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic)
  • Miklós Kuczmann (Department of Automations, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Széchenyi István University, Győr, Hungary)
  • Tibor Kukai (Department of Engineering Studies, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Maria Jesus Lamela-Rey (Departamento de Construcción e Ingeniería de Fabricación, University of Oviedo, Spain)
  • János Lógó  (Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics, Hungary)
  • Carmen Mihaela Lungoci (Faculty of Electrical Engineering and Computer Science, Universitatea Transilvania Brasov, Romania)
  • Frédéric Magoulés (Department of Mathematics and Informatics for Complex Systems, Centrale Supélec, Université Paris Saclay, France)
  • Gabriella Medvegy (Department of Interior, Applied and Creative Design, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Tamás Molnár (Department of Visual Studies, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Ferenc Orbán (Department of Mechanical Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Zoltán Orbán (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Dmitrii Rachinskii (Department of Mathematical Sciences, The University of Texas at Dallas, Texas, USA)
  • Chro Radha (Chro Ali Hamaradha) (Sulaimani Polytechnic University, Technical College of Engineering, Department of City Planning, Kurdistan Region, Iraq)
  • Maurizio Repetto (Department of Energy “Galileo Ferraris”, Politecnico di Torino, Italy)
  • Zoltán Sári (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Grzegorz Sierpiński (Department of Transport Systems and Traffic Engineering, Faculty of Transport, Silesian University of Technology, Katowice, Poland)
  • Zoltán Siménfalvi (Institute of Energy and Chemical Machinery, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Hungary)
  • Andrej Šoltész (Department of Hydrology, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia)
  • Zsolt Szabó (Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary)
  • Mykola Sysyn (Chair of Planning and Design of Railway Infrastructure, Institute of Railway Systems and Public Transport, Technical University of Dresden, Germany)
  • András Timár (Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Barry H. V. Topping (Heriot-Watt University, UK, Faculty of Engineering and Information Technology, University of Pécs, Hungary)

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2023  
Scopus  
CiteScore 1.5
CiteScore rank Q3 (Civil and Structural Engineering)
SNIP 0.849
Scimago  
SJR index 0.288
SJR Q rank Q3

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