Multi-scale salient feature extraction on mesh models

Yong-Liang Yang, Chao-Hui Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationComputational Visual Media
Subtitle of host publicationProceedings of the First International Conference, CVM , 2012
Place of PublicationBerlin, Germany
PublisherSpringer
Pages122-129
Number of pages8
ISBN (Print)9783642342622
DOIs
Publication statusPublished - 2012
EventFirst International Conference on Computational Visual Media (CVM), 2012 - Beijing, China
Duration: 8 Nov 201210 Nov 2012

Publication series

NameLecture Notes in Computer Science
Volume7633

Conference

ConferenceFirst International Conference on Computational Visual Media (CVM), 2012
CountryChina
CityBeijing
Period8/11/1210/11/12

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  • Cite this

    Yang, Y-L., & Shen, C-H. (2012). Multi-scale salient feature extraction on mesh models. In Computational Visual Media: Proceedings of the First International Conference, CVM , 2012 (pp. 122-129). (Lecture Notes in Computer Science; Vol. 7633). Springer. https://doi.org/10.1007/978-3-642-34263-9_16