Perception of Perspective Distortions in Image-Based Rendering

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.
Type de document :
Article dans une revue
ACM Transactions on Graphics, Association for Computing Machinery, 2013, 32 (4), pp.58:1-11. 〈10.1145/2461912.2461971〉
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger


https://hal.inria.fr/hal-00907863
Contributeur : Team Reves <>
Soumis le : jeudi 21 novembre 2013 - 22:21:48
Dernière modification le : lundi 26 février 2018 - 13:40:02
Document(s) archivé(s) le : samedi 22 février 2014 - 04:44:21

Identifiants

Collections

Citation

Peter Vangorp, Christian Richardt, Emily A. Cooper, Gaurav Chaurasia, Martin S. Banks, et al.. Perception of Perspective Distortions in Image-Based Rendering. ACM Transactions on Graphics, Association for Computing Machinery, 2013, 32 (4), pp.58:1-11. 〈10.1145/2461912.2461971〉. 〈hal-00907863〉

Partager

Métriques

Consultations de la notice

290

Téléchargements de fichiers

224