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Vangorp P, Richardt C, Cooper EA, et al. Perception of Perspective Distortions in Image-Based Rendering. ACM Trans Graph. 2013;32(4)doi: 10.1145/2461912.2461971.
Vangorp, P., Richardt, C., Cooper, E. A., Chaurasia, G., Banks, M. S., & Drettakis, G. (2013). Perception of Perspective Distortions in Image-Based Rendering. ACM transactions on graphics, 32(4), . https://doi.org/10.1145/2461912.2461971
Vangorp, Peter, et al. "Perception of Perspective Distortions in Image-Based Rendering." ACM transactions on graphics vol. 32,4 (2013). doi: https://doi.org/10.1145/2461912.2461971
Vangorp P, Richardt C, Cooper EA, Chaurasia G, Banks MS, Drettakis G. Perception of Perspective Distortions in Image-Based Rendering. ACM Trans Graph. 2013 Jul 04;32(4). doi: 10.1145/2461912.2461971. PMID: 24273376; PMCID: PMC3833453.
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ACM Trans Graph. 2013 Jul 04;32(4). doi: 10.1145/2461912.2461971.

Perception of Perspective Distortions in Image-Based Rendering.

ACM transactions on graphics

Peter Vangorp, Christian Richardt, Emily A Cooper, Gaurav Chaurasia, Martin S Banks, George Drettakis

Affiliations

  1. REVES/INRIA Sophia-Antipolis ; University of Giessen ; MPI Informatik.

PMID: 24273376 PMCID: PMC3833453 DOI: 10.1145/2461912.2461971

Abstract

Image-based rendering (IBR) creates realistic images by enriching simple geometries with photographs, e.g., mapping the photograph of a building façade onto a plane. However, as soon as the viewer moves away from the correct viewpoint, the image in the retina becomes distorted, sometimes leading to gross misperceptions of the original geometry. Two hypotheses from vision science state how viewers perceive such image distortions, one claiming that they can compensate for them (and therefore perceive scene geometry reasonably correctly), and one claiming that they cannot compensate (and therefore can perceive rather significant distortions). We modified the latter hypothesis so that it extends to street-level IBR. We then conducted a rigorous experiment that measured the magnitude of perceptual distortions that occur with IBR for façade viewing. We also conducted a rating experiment that assessed the acceptability of the distortions. The results of the two experiments were consistent with one another. They showed that viewers' percepts are indeed distorted, but not as severely as predicted by the modified vision science hypothesis. From our experimental results, we develop a predictive model of distortion for street-level IBR, which we use to provide guidelines for acceptability of virtual views and for capture camera density. We perform a confirmatory study to validate our predictions, and illustrate their use with an application that guides users in IBR navigation to stay in regions where virtual views yield acceptable perceptual distortions.

Keywords: Image-based rendering; human vision; perception

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