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Graph."],"published-print":{"date-parts":[[2013,7,21]]},"abstract":"<jats:p>Image-based rendering (IBR) creates realistic images by enriching simple geometries with photographs, e.g., mapping the photograph of a building fa\u00e7ade 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 fa\u00e7ade 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.<\/jats:p>","DOI":"10.1145\/2461912.2461971","type":"journal-article","created":{"date-parts":[[2013,7,16]],"date-time":"2013-07-16T18:06:45Z","timestamp":1373998005000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Perception of perspective distortions in image-based rendering"],"prefix":"10.1145","volume":"32","author":[{"given":"Peter","family":"Vangorp","sequence":"first","affiliation":[{"name":"REVES\/INRIA Sophia-Antipolis and University of Giessen and MPI Informatik"}]},{"given":"Christian","family":"Richardt","sequence":"additional","affiliation":[{"name":"REVES\/INRIA Sophia-Antipolis"}]},{"given":"Emily A.","family":"Cooper","sequence":"additional","affiliation":[{"name":"University of California, Berkeley"}]},{"given":"Gaurav","family":"Chaurasia","sequence":"additional","affiliation":[{"name":"REVES\/INRIA Sophia-Antipolis"}]},{"given":"Martin S.","family":"Banks","sequence":"additional","affiliation":[{"name":"University of California, Berkeley"}]},{"given":"George","family":"Drettakis","sequence":"additional","affiliation":[{"name":"REVES\/INRIA Sophia-Antipolis"}]}],"member":"320","published-online":{"date-parts":[[2013,7,21]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.2307\/1572377"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.3758\/BF03192707"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.2637-496X.2009.tb00009.x"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383309"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1167\/12.5.8"},{"key":"e_1_2_2_6_1","volume-title":"Proceedings of EGWR '98","author":"Debevec P.","unstructured":"Debevec , P. , Yu , Y. , and Borshukov , G . 1998. Efficient view-dependent image-based rendering with projective texture-mapping . In Proceedings of EGWR '98 , 105--116. Debevec, P., Yu, Y., and Borshukov, G. 1998. Efficient view-dependent image-based rendering with projective texture-mapping. In Proceedings of EGWR '98, 105--116."},{"key":"e_1_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Ernst M. O. and Banks M. S. 2002. Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415 6870 429--433.  Ernst M. O. and Banks M. S. 2002. Humans integrate visual and haptic information in a statistically optimal fashion. 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