Multi-scale salient feature extraction on mesh models

Handle URI:
http://hdl.handle.net/10754/564496
Title:
Multi-scale salient feature extraction on mesh models
Authors:
Yang, Yongliang; Shen, ChaoHui
Abstract:
We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes. © 2012 Springer-Verlag.
KAUST Department:
Visual Computing Center (VCC)
Publisher:
Springer Science + Business Media
Journal:
Lecture Notes in Computer Science
Conference/Event name:
1st International Conference on Computational Visual Media, CVM 2012
Issue Date:
2012
DOI:
10.1007/978-3-642-34263-9_16
Type:
Conference Paper
ISSN:
03029743
ISBN:
9783642342622
Appears in Collections:
Conference Papers; Visual Computing Center (VCC)

Full metadata record

DC FieldValue Language
dc.contributor.authorYang, Yongliangen
dc.contributor.authorShen, ChaoHuien
dc.date.accessioned2015-08-04T07:02:29Zen
dc.date.available2015-08-04T07:02:29Zen
dc.date.issued2012en
dc.identifier.isbn9783642342622en
dc.identifier.issn03029743en
dc.identifier.doi10.1007/978-3-642-34263-9_16en
dc.identifier.urihttp://hdl.handle.net/10754/564496en
dc.description.abstractWe present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes. © 2012 Springer-Verlag.en
dc.publisherSpringer Science + Business Mediaen
dc.titleMulti-scale salient feature extraction on mesh modelsen
dc.typeConference Paperen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalLecture Notes in Computer Scienceen
dc.conference.date8 November 2012 through 10 November 2012en
dc.conference.name1st International Conference on Computational Visual Media, CVM 2012en
dc.conference.locationBeijingen
dc.contributor.institutionTNList, Tsinghua University, Beijing, Chinaen
kaust.authorYang, Yongliangen
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