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dc.contributor.authorMitchel, Thomas W.en_US
dc.contributor.authorRusinkiewicz, Szymonen_US
dc.contributor.authorChirikjian, Gregory S.en_US
dc.contributor.authorKazhdan, Michaelen_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2021-02-27T19:02:29Z
dc.date.available2021-02-27T19:02:29Z
dc.date.issued2021
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14181
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14181
dc.description.abstractThis paper presents a novel, highly distinctive and robust local surface feature descriptor. Our descriptor is predicated on a simple observation: instead of describing the points in the vicinity of a feature point relative to a reference frame at the feature point, all points in the region describe the feature point relative to their own frames. Isometry invariance is a byproduct of this construction. Our descriptor is derived relative to the extended convolution – a generalization of the standard convolution that allows the filter to adaptively transform as it passes over the domain. As such, we name our descriptor the Extended Convolution Histogram of Orientations (ECHO). It exhibits superior performance compared to popular surface descriptors in both feature matching and shape correspondence experiments. In particular, the ECHO descriptor is highly stable under near‐isometric deformations and remains distinctive under significant levels of noise, tessellation, complex deformations and the kinds of interference commonly found in real data.en_US
dc.publisher© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subject3D shape matching
dc.subjectmodeling
dc.subjectcurves and surfaces
dc.subjectmodeling
dc.subjectcomputer vision – shape recognition
dc.subjectmethods and applications
dc.titleECHO: Extended Convolution Histogram of Orientations for Local Surface Descriptionen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume40
dc.description.number1
dc.identifier.doi10.1111/cgf.14181
dc.identifier.pages180-194


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