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DC poleHodnotaJazyk
dc.contributor.authorKatragadda, Sandeep
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-22T06:57:44Z
dc.date.available2019-10-22T06:57:44Z
dc.date.issued2019
dc.identifier.citationJournal of WSCG. 2019, vol. 27, no. 2, p. 151-160.en
dc.identifier.issn1213-6964 (on-line)
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.urihttp://hdl.handle.net/11025/35599
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectstereoskopický 3Dcs
dc.subjectfunkce shodycs
dc.subjectvertikální disparitacs
dc.subjectepipolární omezenícs
dc.subjectRANSACcs
dc.titleIdentification of stereo rig alignment error based on vertical disparity mapen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedPoor quality of 3D video content can lead to headache, blurry vision and overall exhaustive experience for the viewer. To ensure quality and comfortable 3D experience for the end consumer, common production errors must be detected and corrected. Vertical disparity is one of these distortions and is caused by improper stereo-camera setup. This paper aims at identifying the possible rotational and placement errors that cause the vertical disparity. An estimation of these errors is necessary to produce good quality 3D content. According to my knowledge, there exists no method to identify rig alignment errors without the knowledge of camera setup parameters and this work is the first step in that direction. Feature point detection has proven to be an interesting approach to find vertical disparity present in the given stereo image pair. In this work feature extraction techniques such as SIFT, SURF and Harris features are efficiently used to compute reliable and robust vertical disparity patterns. This paper classifies vertical disparity patterns according to rig errors. If the vertical disparity values are too small or ambiguous to be identified by pattern analysis, this paper uses graphical analysis that highlights the relationship between the total vertical disparity and the contribution of each possible error to the total. Experimental results show that the proposed approach identifies the reason behind the presence of vertical disparity of a stereo image pair.en
dc.subject.translatedstereoscopic 3Den
dc.subject.translatedfeature matchingen
dc.subject.translatedvertical disparityen
dc.subject.translatedepipolar constrainten
dc.subject.translatedRANSACen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2019.27.2.8
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 27, Number 2 (2019)

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