Image mapping system for simulating ceramic environments

  • Inmaculada RemolarEmail author
  • Miguel Chover
  • Cristina Rebollo
  • Cristina Gasch


Minimizing costs and increasing sales are a goal for every busi- ness nowadays. This fact, together with the development of new technologies, have driven the emergence of virtual applications where the customers can configure the product they are interested in only interacting with the images where the products appear. Many applications are available on Internet or app stores for this purpose. In all of them, a high realism is required. However, this fact is directly related to a high cost of storage of data and to the difficulty of generating the images of the scenes where the product is exposed. This paper presents a virtual configurator addressed to tile factories that solves these problems maintaining a high realism. The developed application generates the configurable images by rendering 3D modeled environments and the customization is performed taking advantage of the graphics hardware. It is in charge of performing the tiling of any size tiles in real time. The presented image mapping system is based on the real measurements of the walls or floor of the environment that appear in the image and on the dimensions of the tile to map. Taking these data into account, the application performs the final appearance adapting the final image to the requirements of the user. The presented method reduces the amount of stored information maintaining the realism of the customized images.


Image composition Virtual composing Virtual design Automatic tiling 



This work was supported by the Spanish Ministry of Science and Technology (Project TIN2016-75866-C3-1-R).


  1. 1.
    Behr Paint Colours, ca/colors/paint, Accessed October 2017
  2. 2.
    Card SK, Moran WP, Newell A (1980) The keystroke-level model for user performance time with interactive systems. Commun ACM 23(7):396–410CrossRefGoogle Scholar
  3. 3.
    Dahan E, Hauser JR (2012) The virtual customer. J Prod Innov Manag 19(5):332–353CrossRefGoogle Scholar
  4. 4.
    Ebert D, Kenton F, Peachey D, Perlin K, Worley S (2002) Texturing and Modeling: A Procedural Approach 3rd, 600, Morgan Kaufmann Publishers Inc. San Francisco, CA, USAGoogle Scholar
  5. 5.
    Fractal Graphics, Accessed, October 2017
  6. 6.
    Gevers T, Smeulders AWM (1999) Color-based object recognition. Pattern Recogn 32:453–464CrossRefGoogle Scholar
  7. 7.
    Grupo Halcon,, Accessed October 2017
  8. 8.
    Heckbert P (1986) Survey of texture mapping. IEEE Computer Graphics and Applica- tions 6(11):56–67CrossRefGoogle Scholar
  9. 9.
    Ikea Home Planner,, Accessed October 2017
  10. 10.
    Khurana P, Sharma A, Singh SN, Singh PK (2016) A survey on object recognition and segmentation techniques, Proceedings of 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp 3822–3826Google Scholar
  11. 11.
    Lengyel J, Snyder J (1997) Rendering with Coherent Layers, Proceedings of the 24th annual Conference on Computer Graphics and Interactive Techniques, pp 233–242Google Scholar
  12. 12.
    Linares J, Santonja J, Chover M (2003) Realistic Image Mapping System and its Multimedia and Internet Integration, Industrial & Project Presentations, pp 27–34Google Scholar
  13. 13.
    Molnar S, Eyles J, Poulton J (1992) PixelFlow: High-Speed Rendering Using Image Composition, Proceedings of the 19th annual Conference on Computer Graphics and In- teractive Techniques, pp 231–240Google Scholar
  14. 14.
  15. 15.
    Pharr M, Fernando R (2005) GPU Gems 2: Programming Techniques for High- Performance Graphics and General-Purpose Computation, Addison-Wesley ProfessionalGoogle Scholar
  16. 16.
    Remolar I, Chover M, Quir’os R, Gumbau J, Ramos F, Castell’o P, Rebollo C (2010) Virtual Trade Fair: A Multiuser 3D Virtual World for Business, Proceedings of 2010 International Conference on CyberWorlds, pp 208–214Google Scholar
  17. 17.
    Rodda Color Visualizer, visualizer, Accessed October 2017
  18. 18.
    Santonja J, Linares J, Chover M (2002) An image mapping system for simulating ce- ramic tiles on real photographs. International Conference on Computer Vision and Graphics 1:121–128Google Scholar
  19. 19.
    Schied C, Dachsbache C (2015) Deferred attribute interpolation for memory-efficient deferred shading, Proceedings of the 7th Conference on High-Performance Graphics, pp 43–49Google Scholar
  20. 20.
    Schnitzer S, Gansel S, Durr F, Rothermel K (2014) Concepts for execution time prediction of 3D GPU rendering. Proceedings of the 9th IEEE International Symposium in Industrial Embedded Systems (SIES), pp. 160–169Google Scholar
  21. 21.
    Soler C, Hoel O, Rochet F (2010) A deferred shading pipeline for real-time indirect illumination, Proceeding SIGGRAPH 2010 Talks, Article 18Google Scholar
  22. 22.
    Spark Vision Digital Showroom. Accessed November 2017
  23. 23.
    Sukanya C, Roopa G, Vince PA (2016) Survey on Object Recognition Methods. International Journal of Computer Science Engineering and Technology 6(1):48–52Google Scholar
  24. 24.
    Sweet Home 3D,, Accessed October 2017
  25. 25.
    Tile Giant,, Accessed October 2017
  26. 26.
    Tile planner,, Accessed October 2017
  27. 27.
    TitanLux,, Accessed October 2017
  28. 28.
    Trentin A, Perin E, Forza C (2014) Increasing the consumer-perceived benefits of a mass- customization experience through sales-configurator capabilities. Comput Ind 65(4):693–705CrossRefGoogle Scholar
  29. 29.
    Valspar Painting,, Accessed November 2017
  30. 30.
    Vive VR Glasses,, Accessed October 2017
  31. 31.
    Wang Z, Ziou D, Armenakis C, Li D, Li Q (2005) A comparative analysis of image fusion methods. IEEE Trans Geosci Remote Sens 43(6):1391–1402CrossRefGoogle Scholar
  32. 32.
    Xin L (2015) On Computing Mapping of 3D Objects: A Survey, ACM Computing Surveys (CSUR) Surveys, 47(2)Google Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of New Imaging TechnologiesUniversitat Jaume ICastellónSpain

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