BROWSE

Related Researcher

Author

Sim, Jae-Young
Visual Information Processing Lab (VIP Lab)
Research Interests
  • Image processing, computer vision, 3D visual processing, signal processing

ITEM VIEW & DOWNLOAD

Saliency Detection for 3D Surface Geometry Using Semi-Regular Meshes

DC FieldValueLanguage
dc.contributor.authorJeong, Se-Wonko
dc.contributor.authorSim, Jae-Youngko
dc.date.available2017-06-16T04:21:02Z-
dc.date.created2017-06-12ko
dc.date.issued201705ko
dc.identifier.citationIEEE TRANSACTIONS ON MULTIMEDIA, v., no., pp. -ko
dc.identifier.issn1520-9210ko
dc.identifier.urihttp://scholarworks.unist.ac.kr/handle/201301/22214-
dc.identifier.urihttp://ieeexplore.ieee.org/document/7937854/ko
dc.description.abstractIn this paper, a unified detection algorithm of viewindependent and view-dependent saliency for 3D mesh models is proposed. While the conventional techniques use the irregular meshes, we adopt the semi-regular meshes to overcome the drawback of irregular connectivity for saliency computation. We employ the angular deviation of normal vectors between neighboring faces as geometric curvature features, which are evaluated at hierarchically structured triangle faces. We construct a fullyconnected graph at each level of semi-regular mesh, where the face patches serve as graph nodes. At the base mesh level, we estimate the saliency as the stationary distribution of random walk. At the higher level meshes, we take the maximum value between the stationary distribution of random walk at the current level and an upsampled saliency map from the previous coarser scale. Moreover, we also propose a view-dependent saliency detection method which employs the visibility feature in addition to the geometric features to estimate the saliency with respect to a selected viewpoint. Experimental results demonstrate that the proposed saliency detection algorithm captures global conspicuous regions reliably and detects locally detailed geometric features faithfully, compared with the conventional techniques.ko
dc.languageENGko
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCko
dc.titleSaliency Detection for 3D Surface Geometry Using Semi-Regular Meshesko
dc.typeARTICLEko
dc.identifier.pid1113null
dc.identifier.rimsid28634ko
dc.type.rimsAko
dc.identifier.doihttp://dx.doi.org/10.1109/TMM.2017.2710802ko
Appears in Collections:
ECE_Journal Papers

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show simple item record

qr_code

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU