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Influence of Binocular Disparity in Depth Perception Mechanisms in Virtual Environments

  • Matthieu PoyadeEmail author
  • Arcadio Reyes-Lecuona
  • Raquel Viciana-Abad
Chapter

Abstract

In this chapter, an experimental study is presented for evaluating the importance of binocular disparity in depth perception within a Virtual Environment (VE), which is assumed to be critical in many manipulation tasks. In this research work, two assumptions are made: Size cues strongly contaminate depth perception mechanisms and binocular disparity optimizes depth perception for manipulation tasks in VE. The results outline size cues as possible cause of depth perception degradation and binocular disparity as an important factor in depth perception, whose influence is altered by the position within a VE.

Notes

Acknowledgments

This study has been partially funded by the Spanish Ministry of Education and Sciences (Project TIN2006-15202-C03-02) and the council of Andalusia (Group PAI TIC-171). Special thanks to Carmen Garcia Berdonés for her comments.

References

  1. 1.
    Alexander T et al. (2003) Depth perception and visual after-effects at stereoscopic workbench displays. Proc Virtual Real Annu Int Symp: 269–270Google Scholar
  2. 2.
    Bouguila L et al. (2000) Effect of Coupling Haptics and Stereopsis on Depth Perception in Virtual Environment. Proc. of the 1st Workshop on Haptic Human Computer Interaction: 54–62Google Scholar
  3. 3.
    Kim WS et al. (1987) Visual Enhancements in pick and place tasks: Human operators controlling a simulated cylindrical manipulator. IEEE J Rob Autom, RA-3: 418–425Google Scholar
  4. 4.
    Rosenberg L (1993) Effect of interocular distance upon operator performance using stereoscopic displays to perform virtual depth tasks. IEEE Annu Virtual Reality Int Symp: 27–32Google Scholar
  5. 5.
    Holliman N (2006) Three-Dimensional Display Systems. Handbook of Optoelectronics Vol II, Ed. Dakin JP and Brown RGW, Taylor & Francis, Boca RatonGoogle Scholar
  6. 6.
    Wanger LR et al. (1992) Perceiving spatial relationships in computer-generated images. IEEE Comput Graphics Appl, 12: 44–58CrossRefGoogle Scholar
  7. 7.
    Pfautz JD (2002) Depth Perception in Computer Graphics. University of Cambridge. PhD Thesis http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-546.pdf. Accessed September 2002
  8. 8.
    Stanney KM et al. (1998) Human factors issues in Virtual Environments: A review of the literature. Presence Teleoper. Virtual Environ, 7: 327–351CrossRefGoogle Scholar
  9. 9.
    Bülthoff HH and Mallot HA (1998) Integration of depth modules: stereo and shading. J Opt Soc Am A 5: 1749–1758CrossRefGoogle Scholar
  10. 10.
    Guibal CR and Dresp B (2004) Interaction of color and geometric cues in depth perception: when does “red” mean “near”? Psychol Res, 69:30–40CrossRefGoogle Scholar
  11. 11.
    Sinai MJ et al. (1998) Terrain influences the accurate judgment of distance. Nature, 395: 497–500CrossRefGoogle Scholar
  12. 12.
    Jones G et al (2001) Controlling perceived depth in stereoscopic images. Proc. SPIE Int Soc Opt Eng, 4297: 42–53Google Scholar
  13. 13.
    Hearn D and Baker MP (1995) Gráficas Por Computadora con OpenGL. Prentice Hall, MadridGoogle Scholar
  14. 14.
    Lipton L (1991) Stereographics, Developers Handbook. StereoGraphics CorpGoogle Scholar
  15. 15.
    Holliman N (2004) A mapping perceived depth to regions of interest in stereoscopic images. Proc. SPIE Int Soc Opt Eng, 5291: 117–128Google Scholar
  16. 16.
    Sweet BT and Kaiser MK (2006) Integration of size and binocular disparity visual cues in manual depth-control tasks. Coll. Technic. Papers. AIAA Model. Simulat Technol Conf 2006, 2: 933–957Google Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • Matthieu Poyade
    • 1
    Email author
  • Arcadio Reyes-Lecuona
  • Raquel Viciana-Abad
  1. 1.Departamentos de Technología ElectrónicaETSI de Telecomunicación Universidad de MálagaSpain

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