Detection and localization of specular surfaces using image motion cues

Basit Öğe Kaydı
dc.contributor.authorYilmaz, Ozgur
dc.contributor.authorDoerschner, Katja
dc.date.accessioned2025-10-24T18:08:47Z
dc.date.available2025-10-24T18:08:47Z
dc.date.issued2014
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractSuccessful identification of specularities in an image can be crucial for an artificial vision system when extracting the semantic content of an image or while interacting with the environment. We developed an algorithm that relies on scale and rotation invariant feature extraction techniques and uses motion cues to detect and localize specular surfaces. Appearance change in feature vectors is used to quantify the appearance distortion on specular surfaces, which has previously been shown to be a powerful indicator for specularity (Doerschner et al. in Curr Biol, 2011). The algorithm combines epipolar deviations (Swaminathan et al. in Lect Notes Comput Sci 2350:508-523, 2002) and appearance distortion, and succeeds in localizing specular objects in computer-rendered and real scenes, across a wide range of camera motions and speeds, object sizes and shapes, and performs well under image noise and blur conditions.
dc.description.sponsorshipEuropean Community [239494]; Turkish Academy of Sciences Young Scientist Award (TUBA GEBIP); Scientific and Technological Research Council of Turkey [TUBITAK 1001, 112K069]; EU Marie Curie Initial Training Network PRISM (FP7-PEOPLE-2012-ITN) [316746]
dc.description.sponsorshipThis work was supported by a Marie Curie International Reintegration Grant (239494) within the Seventh European Community Framework Programme awarded to KD. KD has also been supported by a Turkish Academy of Sciences Young Scientist Award (TUBA GEBIP), a grant by the Scientific and Technological Research Council of Turkey (TUBITAK 1001, 112K069), and the EU Marie Curie Initial Training Network PRISM (FP7-PEOPLE-2012-ITN, Grant Agreement: 316746).
dc.identifier.doi10.1007/s00138-014-0610-9
dc.identifier.endpage1349
dc.identifier.issn0932-8092
dc.identifier.issn1432-1769
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84903383385
dc.identifier.scopusqualityQ2
dc.identifier.startpage1333
dc.identifier.urihttps://doi.org/10.1007/s00138-014-0610-9
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3298
dc.identifier.volume25
dc.identifier.wosWOS:000337091200017
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofMachine Vision And Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectSpecularity detection; Image motion; Surface reflectance estimation
dc.titleDetection and localization of specular surfaces using image motion cues
dc.typeArticle

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