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Using Stereo-photogrammetry for Interiors Reconstruction in 3D Game Development

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Image Processing and Communications Challenges 10 (IP&C 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 892))

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Abstract

This paper proposes a new approach to the reconstruction of building interiors based on stereo-photogrammetry. The proposed technology can be used, among others, for modeling rooms for video games whose action takes place in locations reflecting real interiors. The original, large-scale experiment showed that the proposed approach is economically justified in the case of larger and more complex spaces which are more difficult to model in a traditional way. Also novel approach is proposed to deal with the problem of scanning flat uniform surfaces.

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References

  1. Agisoft, L.: Agisoft photoscan user manual: professional edition (2014)

    Google Scholar 

  2. Ahmadabadian, A.H., Robson, S., Boehm, J., Shortis, M., Wenzel, K., Fritsch, D.: A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs. ISPRS J. Photogramm. Remote. Sens. 78, 157–167 (2013)

    Article  Google Scholar 

  3. Balsa-Barreiro, J., Fritsch, D.: Generation of visually aesthetic and detailed 3D models of historical cities by using laser scanning and digital photogrammetry. Digit. Appl. Archaeol. Cult. Herit. 8, 57–64 (2018)

    Google Scholar 

  4. Baya, H., Essa, A., Tuytelaarsb, T., Van Goola, L.: Speeded-up robust features (surf). Comput. Vis. Image Underst. 110(3), 346–359 (2008)

    Article  Google Scholar 

  5. Escorcia, V., Dávila, M.A., Golparvar-Fard, M., Niebles, J.C.: Automated vision-based recognition of construction worker actions for building interior construction operations using RGBD cameras. In: Construction Research Congress 2012: Construction Challenges in a Flat World, pp. 879–888 (2012)

    Google Scholar 

  6. Ha, H., Oh, T.H., Kweon, I.S.: A multi-view structured-light system for highly accurate 3D modeling. In: 2015 International Conference on 3D Vision (3DV), pp. 118–126. IEEE (2015)

    Google Scholar 

  7. Kaczmarek, A.L.: Improving depth maps of plants by using a set of five cameras. J. Electron. Imaging 24(2), 023018 (2015)

    Article  Google Scholar 

  8. Kaczmarek, A.L.: Stereo vision with equal baseline multiple camera set (EBMCS) for obtaining depth maps of plants. Comput. Electron. Agric. 135, 23–37 (2017)

    Article  Google Scholar 

  9. Kazmi, W., Foix, S., Alenya, G.: Plant leaf imaging using time of flight camera under sunlight, shadow and room conditions. In: 2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE), pp. 192–197. IEEE (2012)

    Google Scholar 

  10. Khoshelham, K., Elberink, S.O.: Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors 12(2), 1437–1454 (2012)

    Article  Google Scholar 

  11. Rebecca, O., Gold, C., Kidner, D.: 3D city modelling from LIDAR data. In: Advances in 3D geoinformation systems, pp. 161–175. Springer, Heidelberg (2008)

    Google Scholar 

  12. Szwoch, M., Kaczmarek, A.L., Dariusz, B.: STERIO - reconstruction of 3D scenery for video games using stereo-photogrammetry. Computer Game Innovations in Monograph of the Lodz University of Technology, Lodz University of Technology, Lodz, Poland, napieralski p, wojciechowski a edn. (2017)

    Google Scholar 

  13. Szwoch, M., Pieniażek, P.: Detection of face position and orientation using depth data. In: Image Processing and Communications Challenges 7, pp. 239–251. Springer, Cham (2016)

    Google Scholar 

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Acknowledgment

This work was supported by the Sectoral Programme GAMEINN within the Operational Programme Smart Growth 2014-2020 under the contract no POIR.01.02.00-00-0140/16.

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Correspondence to Mariusz Szwoch .

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Szwoch, M., Kaczmarek, A.L., Bartoszewski, D. (2019). Using Stereo-photogrammetry for Interiors Reconstruction in 3D Game Development. In: ChoraÅ›, M., ChoraÅ›, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_3

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