Abstract
In this paper, we develop a novel visual saliency based shape enhancement technique for relief surfaces. It consists of three steps. Firstly, we calculate the multi-channel salience map of the underlying shape by combining three feature maps, i.e., the feature map of local height distribution, normal difference, and mean curvature variation. Secondly, we manipulate the original relief surface by a salience-domain shape manipulation function. Finally, we adjust surface normals of the original shape as the corresponding final normals of the manipulated surface. The experimental results show that our proposed algorithm can adjust the shading of the original shape and thus for improving its shape depiction.
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© 2012 Springer-Verlag Berlin Heidelberg
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Miao, Y., Feng, J., Wang, J., Pajarola, R. (2012). A Shape Enhancement Technique Based on Multi-channel Salience Measure. In: Hu, SM., Martin, R.R. (eds) Computational Visual Media. CVM 2012. Lecture Notes in Computer Science, vol 7633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34263-9_15
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DOI: https://doi.org/10.1007/978-3-642-34263-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34262-2
Online ISBN: 978-3-642-34263-9
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