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Stereoscopic Image-Based Rendering Technique for Low-Cost Virtual Reality

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Computer Science – CACIC 2020 (CACIC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1409))

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Abstract

Mobile phones offer an excellent low-cost alternative for Virtual Reality. However, the hardware constraints of these devices restrict the displayable visual complexity of graphics. Image-Based Rendering techniques arise as an alternative to solve this problem, but usually, generating the stereoscopic effect to improve depth perception presents a challenging problem. In this work, we present an Image-Based Rendering technique for low-cost virtual reality that incorporates stereoscopy to improve depth perception. We also conducted a user evaluation to analyze the stereoscopic effect of the technique, especially considering the effect on depth perception, presence, and navigation. The results prove the benefits of our technique for both virtual and real-world environments.

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Notes

  1. 1.

    https://httpd.apache.org/.

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Authors and Affiliations

  1. VyGLab Research Laboratory, UNS-CICPBA, 8000, Bahía Blanca, Argentina

    Matías N. Selzer, M. Luján Ganuza, Dana K. Urribarri, Martín L. Larrea & Silvia M. Castro

  2. Institute for Computer Science and Engineering, CONICET-UNS, Bahía Blanca, Argentina

    Matías N. Selzer, M. Luján Ganuza, Dana K. Urribarri, Martín L. Larrea & Silvia M. Castro

Authors
  1. Matías N. Selzer
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  2. M. Luján Ganuza
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  3. Dana K. Urribarri
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  4. Martín L. Larrea
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  5. Silvia M. Castro
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Corresponding author

Correspondence to Matías N. Selzer .

Editor information

Editors and Affiliations

  1. National University of La Plata, La Plata, Argentina

    Patricia Pesado

  2. National University of La Matanza, San Justo, Argentina

    Jorge Eterovic

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Selzer, M.N., Ganuza, M.L., Urribarri, D.K., Larrea, M.L., Castro, S.M. (2021). Stereoscopic Image-Based Rendering Technique for Low-Cost Virtual Reality. In: Pesado, P., Eterovic, J. (eds) Computer Science – CACIC 2020. CACIC 2020. Communications in Computer and Information Science, vol 1409. Springer, Cham. https://doi.org/10.1007/978-3-030-75836-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-75836-3_7

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  • Online ISBN: 978-3-030-75836-3

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