Development of a method for the creation of 3d advertising printing products

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.147325

Keywords:

3D advertising printing products, advertising installation, recurrent scheme, logo, distorted image

Abstract

The analysis of characteristic features of 3D advertising design is carried out. It was found that since the input information concerning the task of structuring the stages of creation of 3D advertising printing products is qualitative, an expert approach should be used for its solution. As experts, the technologists of the leading Ukrainian publishing and printing companies were presented. Using the expert approach on the basis of these features, the structuring of development stages of 3D advertising printing products was formed. The list and content of the parameters of such structuring are conditioned by specific types of 3D advertising.

To take into account the separate categories and properties of 3D advertising, a technology for choosing the options for implementing 3D advertising installations was developed. This technology is based on the use of simulation tools.

The choice of acceptable alternatives is based on the use of the proposed basic recurrence scheme. The list of estimating parameters that influence the efficiency of advertising installations and allow evaluating the quality of the logo created by calligraphy means is proposed.

A mathematical model for creating a projection of an advertising image is developed. This model provides features of graphic processing of illustrations such as distortion of the original 3D advertising image horizontally, distortion of the original 3D advertising image vertically, converting the pixel coordinate in the desired direction, calculating the size of the 3D advertising image. Based on the developed mathematical model, a program was created that allows forming the distorted appearance of any image, which can be applied to the surface. The method of creating 3D advertising was implemented in the BPWin software product. Software implementation allows optimizing the 3D advertising development process

Author Biographies

Yevhen Hrabovskyi, Simon Kuznets Kharkiv National University of Economics Nauky ave., 9-a, Kharkiv, Ukraine, 61166

PhD, Associate Professor

Department of Computer Systems and Technologies

Oleksiy Yevsyeyev, Simon Kuznets Kharkiv National University of Economics Nauky ave., 9-a, Kharkiv, Ukraine, 61166

PhD, Associate Professor

Department of Computer Systems and Technologies

Alexander Pandorin, Simon Kuznets Kharkiv National University of Economics Nauky ave., 9-a, Kharkiv, Ukraine, 61166

PhD, Associate Professor

Department of Computer Systems and Technologies

References

  1. Chebanenko, O., Kolesnikova, Т. (2017). Research of technologies for creating animations for web systems. Systemy obrobky informatsiyi, 4 (150), 97–99. doi: https://doi.org/10.30748/soi.2017.150.20
  2. Leach, N. (2017). Size Matters: Why Architecture is the Future of 3D Printing. Architectural Design, 87 (6), 76–83. doi: https://doi.org/10.1002/ad.2241
  3. Sonntag, S. R., Xing, N. (2013). An investigation of the effectiveness and persuasiveness of stereoscopic 3D advertising. 2013 International Conference on 3D Imaging. doi: https://doi.org/10.1109/ic3d.2013.6732080
  4. Hafiz, D. A., Sheta, W. M., Bayoumi, S., Youssef, B. A. B. (2011). A New Approach for 3D Range Image Segmentation using Gradient Method. Journal of Computer Science, 7 (4), 475–487. doi: https://doi.org/10.3844/jcssp.2011.475.487
  5. Meillier, C., Ammanouil, R., Ferrari, A., Bianchi, P. (2018). Distribution strategies for very large 3D image deconvolution algorithms. Signal Processing: Image Communication, 67, 149–160. doi: https://doi.org/10.1016/j.image.2018.06.012
  6. Kuisma, J., Hyönä, J., Simola, J. (Eds.) (2015). Perception of visual advertising in different media: from attention to distraction, persuasion, preference and memory. Lausanne: Frontiers Media SA, 124. doi: https://doi.org/10.3389/978-2-88919-416-2
  7. Shelly, R., Esther, T. (Eds.) (2017). Digital Advertising: Theory and Research. London: Routledge, Taylor & Francis Group, 496. doi: https://doi.org/10.4324/9781315623252
  8. Hopp, T., Gangadharbatla, H. (2016). Novelty Effects in Augmented Reality Advertising Environments: The Influence of Exposure Time and Self-Efficacy. Journal of Current Issues & Research in Advertising, 37 (2), 113–130. doi: https://doi.org/10.1080/10641734.2016.1171179
  9. Debbabi, S., Daassi, M., Baile, S. (2010). Effect of online 3D advertising on consumer responses: the mediating role of telepresence. Journal of Marketing Management, 26 (9-10), 967–992. doi: https://doi.org/10.1080/02672570903498819
  10. Mulisch, M. (2014). Tissue-Printing. Springer. doi: https://doi.org/10.1007/978-3-658-03867-0
  11. Urbas, R., Elesini, U. S. (2015). Color differences and perceptive properties of prints made with microcapsules. Journal of graphic engineering and design, 6 (1), 15–21.
  12. Toporkov, V. V. (2004). Rekurrentnye skhemy formirovaniya i vybora variantov sistem na osnove operacionnyh modeley. Kibernetika i sistemniy analiz, 3, 169–178.
  13. Naumenko, M., Hrabovskyi, Y. (2018). Elaboration of methodology for designing a publishing and printing web portal. Eastern-European Journal of Enterprise Technologies, 2 (2 (92)), 14–22. doi: https://doi.org/10.15587/1729-4061.2018.126305

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Published

2018-11-14

How to Cite

Hrabovskyi, Y., Yevsyeyev, O., & Pandorin, A. (2018). Development of a method for the creation of 3d advertising printing products. Eastern-European Journal of Enterprise Technologies, 6(2 (96), 6–18. https://doi.org/10.15587/1729-4061.2018.147325