August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
A method to align real and virtual objects for mixed reality investigations of visually guide grasping
Author Affiliations & Notes
  • Fabrizio Lepori
    Department of Experimental Psychology, Justus Liebig University Giessen
    Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genoa
  • Guido Maiello
    Department of Experimental Psychology, Justus Liebig University Giessen
  • Kira Dehn
    Department of Experimental Psychology, Justus Liebig University Giessen
  • Frieder Hartmann
    Department of Experimental Psychology, Justus Liebig University Giessen
  • Manuela Chessa
    Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genoa
  • Constantin A. Rothkopf
    Institute of Psychology & Centre for Cognitive Science, Technical University of Darmstadt
  • Roland W. Fleming
    Department of Experimental Psychology, Justus Liebig University Giessen
    Centre for Mind, Brain and Behaviour (CMBB), University of Marburg and Justus Liebig University Giessen
  • Footnotes
    Acknowledgements  Deutsche Forschungsgemeinschaft (DFG: No. 222641018-SFB/TRR 135 TP C1 and IRTG-1901 "The Brain in Action") Research Cluster “The Adaptive Mind” funded by the Excellence Program of the Hessian Ministry of Higher Education, Science, Research, and the Arts FL was supported by a Erasmus+ scholarship
Journal of Vision August 2023, Vol.23, 4797. doi:https://doi.org/10.1167/jov.23.9.4797
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      Fabrizio Lepori, Guido Maiello, Kira Dehn, Frieder Hartmann, Manuela Chessa, Constantin A. Rothkopf, Roland W. Fleming; A method to align real and virtual objects for mixed reality investigations of visually guide grasping. Journal of Vision 2023;23(9):4797. https://doi.org/10.1167/jov.23.9.4797.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Virtual Reality (VR) is a powerful tool for studying perception, allowing researchers to present stimuli whose appearance and physical behaviour deviate from reality. Here, we used VR to investigate visually-guided grasping in mixed reality environments. By aligning real and virtual environments, participants could view virtual versions of objects while touching their real counterparts at the same location. We asked participants to grasp the objects, while we tracked markers attached to their hands and to the objects using 8 Qualisys Miqus M5 motion-tracking cameras. Additionally, we recorded temporally aligned videos using 6 Qualisys Miqus Video cameras. Marker positions were streamed into a virtual environment containing a realistic replica of the real object, which matched the motion of the real object. To verify the alignment between real and virtual scenes, we rendered the virtual environment from the same viewpoints as the video cameras. For visualization purposes, we overlaid the virtual object renderings onto the video recordings, thus generating a new, mixed reality depiction of the scene. To quantify the alignment overlap, we computed the intersection over union of the object segmented out of video and rendered scenes, achieving an average alignment of 84±3 %. We also quantified the alignment accuracy as the distance in image space between real and rendered tracked object markers. We achieved an average accuracy of 6.5±0.5 pixels, which translated to a misalignment of 1.7±0.1 mm and 5.1±0.3 minutes of visual angle for an average viewing distance of 115 cm, validating the effectiveness of our alignment procedure. By rendering the aligned virtual objects with different textures, we can vary the appearance of the objects’ material composition. This allows us to perform novel explorations investigating how the visuomotor system adapts to conflicts between the visual appearance and physical properties of graspable objects.

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