The effects of viewpoint on the virtual space of pictures
Pictorial communication in virtual and real environments
Unstructured lumigraph rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Image-Based Rendering
Biostatistical Analysis (5th Edition)
Biostatistical Analysis (5th Edition)
Handling occluders in transitions from panoramic images: A perceptual study
ACM Transactions on Applied Perception (TAP)
Street slide: browsing street level imagery
ACM SIGGRAPH 2010 papers
Physically Based Rendering, Second Edition: From Theory To Implementation
Physically Based Rendering, Second Edition: From Theory To Implementation
Perception-motivated interpolation of image sequences
ACM Transactions on Applied Perception (TAP)
Realistic perspective projections for virtual objects and environments
ACM Transactions on Graphics (TOG)
Perception of visual artifacts in image-based rendering of façades
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Believability in simplifications of large scale physically based simulation
Proceedings of the ACM Symposium on Applied Perception
Preference and artifact analysis for video transitions of places
ACM Transactions on Applied Perception (TAP) - Special issue SAP 2013
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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.