A Novel Cross-Dimensional Image Processing Technique: Toward a 3D View of a 2D Image

  • Dipnarayan DasEmail author
  • Sumit Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 922)


The domain of image processing has been very popular among researchers since a very long time. It is a well-known fact that there are myriad objectives that can be met with this subject. Through this paper, we are proposing a novel technique whereby we will train our system by processing images on a two-dimensional plane and subsequently produce a resultant three-dimensional view of an image. We have attained this transformation through cross-dimensional image processing by studying, understanding and analyzing the various attributes and properties of an image. This cross-dimensional image processing technique explores the existing digital image processing domain where the inputted 2D image is mapped to produce a 3D view of the image in 3D space.


Image processing Z-Buffer Depth of field LED cube Surface detection 


  1. 1.
    Varga M, Jadlovsky J (2016) 3D imaging and image processing—literature review. In: 16th scientific conference of young researchers of faculty of electrical engineering and informatics technical university of Košice (SYCR) 2016. Herľany, Slovakia, pp 12–15Google Scholar
  2. 2.
    Mathai S, Mathai PP, Divya KA (2015) Automatic 2D to 3D video and image conversion based on global depth map. In: 2015 IEEE international conference on computational intelligence and computing research (ICCIC). IEEE, Madurai, India, pp 1–4Google Scholar
  3. 3.
    Konrad J, Wang M, Ishwar P (2012) 2D-to-3D image conversion by learning depth from examples. In: 2012 IEEE computer society conference on computer vision and pattern recognition workshops. IEEE, Providence, RI, pp 16–22Google Scholar
  4. 4.
    Angot JL, Huang WJ, Liu KC (2010) A 2D to 3D video and image conversion technique based on a bilateral filter. In: Proceedings of SPIE-IS&T electronic imaging, international society for optics and photonics, vol 7526. SPIE-IS&T, pp 75260D1-10Google Scholar
  5. 5.
    Galabov MN (2015) A real time 2D to 3D image conversion techniques. Int J Eng Sci Innov Technol (IJESIT) 4(1):297–304Google Scholar
  6. 6.
    Cheng CC, Li CT, Chen LG (2010) A 2D-to-3D conversion system using edge information. In: 2010 digest of technical papers international conference on consumer electronics (ICCE). IEEE, Las Vegas, NV, pp 377–378Google Scholar
  7. 7.
    Gonzalez-Huitron V, Ramos-Diaz E, Kravchenko V, Ponomaryov V (2014) 2D to 3D conversion based on disparity map estimation. In: Bayro-Corrochano E, Hancock E (eds) Progress in pattern recognition, image analysis, computer vision, and applications (CIARP 2014), vol 8827. Lecture Notes in Computer Science. Springer, Cham, pp 982–989Google Scholar
  8. 8.
    Arduino Webpage, Last accessed 15 Aug 2018
  9. 9.
  10. 10.
    Arduino Webpage, Last accessed 16 Aug 2018
  11. 11.
    Adams A (1980) The camera. The new Ansel Adams photography series/Book 1. New York Graphic Society, BostonGoogle Scholar
  12. 12.
    Autodesk Webpage, Last accessed 15 Aug 2018
  13. 13.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringUniversity Institute of Technology, The University of BurdwanBurdwanIndia

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