Abstract
This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic Bézier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.
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© 2007 Springer-Verlag Berlin Heidelberg
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Li, Z., Ma, L., Zheng, Z., Tan, W. (2007). Feature Extraction from the Mesh Model with Some Noise. In: Butz, A., Fisher, B., Krüger, A., Olivier, P., Owada, S. (eds) Smart Graphics. SG 2007. Lecture Notes in Computer Science, vol 4569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73214-3_19
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DOI: https://doi.org/10.1007/978-3-540-73214-3_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73213-6
Online ISBN: 978-3-540-73214-3
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