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Issue No.05 - May (2014 vol.20)
pp: 675-685
Xianfang Sun , School of Computer Science and Informatics, Cardiff University, 5 The Parade, Roath, CF24 3AA, United Kingdom
Traditional 3D model-based bas-relief modeling methods are often limited to model-dependent and monotonic relief styles. This paper presents a novel method for digital bas-relief modeling with intuitive style control. Given a composite normal image, the problem discussed in this paper involves generating a discontinuity-free depth field with high compression of depth data while preserving or even enhancing fine details. In our framework, several layers of normal images are composed into a single normal image. The original normal image on each layer is usually generated from 3D models or through other techniques as described in this paper. The bas-relief style is controlled by choosing a parameter and setting a targeted height for them. Bas-relief modeling and stylization are achieved simultaneously by solving a sparse linear system. Different from previous work, our method can be used to freely design bas-reliefs in normal image space instead of in object space, which makes it possible to use any popular image editing tools for bas-relief modeling. Experiments with a wide range of 3D models and scenes show that our method can effectively generate digital bas-reliefs.
Three-dimensional displays, Solid modeling, Laplace equations, Image coding, Computational modeling, Shape, Optimization,layer-based, Bas-relief, normal image, relief style, feature preserving
Xianfang Sun, "Bas-Relief Modeling from Normal Images with Intuitive Styles", IEEE Transactions on Visualization & Computer Graphics, vol.20, no. 5, pp. 675-685, May 2014, doi:10.1109/TVCG.2013.267
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