Abstract
This paper presents a novel salient point detection method for 3D mesh surface, and introduces a space scale-rotation invariant local feature descriptor to perform reliable matching between objects. We can find out similar geometry features by matching up the local feature descriptors in different objects by nearest neighbor principle. Furthermore, we demonstrate the effectiveness and discuss the potential application of the proposed method.
This research is supported by “the Fundamental Research Funds for the Central Universities” (No.21610319) "the cooperation project for industry, Universities of Guangdong province and Ministry of Education of P.R.China"(No.2010B090400124), Jinan University Scientific Research Fund for the introduction of talents (No.50624029).
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© 2011 Springer-Verlag Berlin Heidelberg
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Wei, W., Luo, S., Lin, L., Chen, Z. (2011). Scale and Rotation Invariant Salient Point Detection on 3D Mesh. In: Tan, H., Zhou, M. (eds) Advances in Information Technology and Education. Communications in Computer and Information Science, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22418-8_20
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DOI: https://doi.org/10.1007/978-3-642-22418-8_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22417-1
Online ISBN: 978-3-642-22418-8
eBook Packages: Computer ScienceComputer Science (R0)