首页|Normal manipulation for bas-relief modeling

Normal manipulation for bas-relief modeling

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  • NETL
  • NSTL
  • Elsevier
We introduce a normal-based modeling framework for bas-relief generation and stylization which is motivated by the recent advancement in this topic. Creating bas-relief from normal images has successfully facilitated bas-relief modeling in image space. However, the use of normal images in previous work is restricted to the cut-and-paste or blending operations of layers. These operations simply treat a normal vector as a pixel of a general color image. This paper is intended to extend normal-based methods by processing the normal image from a geometric perspective. Our method can not only generate a new normal image by combining various frequencies of existing normal images and details transferring, but also build bas-reliefs from a single RGB image and its edge-based sketch lines. In addition, we introduce an auxiliary function to represent a smooth base surface or generate a layered global shape. To integrate above considerations into our framework, we formulate the bas-relief generation as a variational problem which can be solved by a screened Poisson equation. One important advantage of our method is that it can generate more styles than previous methods and thus it expands the bas-relief shape space. We experimented our method on a range of normal images and it compares favorably to other popular classic and state-of-the-art methods.

Bas-reliefNormal imageHeight fieldDetail transferVariational optimizationScreened Poisson equation

Zhongping Ji、Xianfang Sun、Yu-Wei Zhang、Weiyin Ma、Mingqiang Wei

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School of Computer Science, Hangzhou Dianzi University, Hangzhou, China

School of Computer Science and Informatics, Cardiff University, Cardiff, UK

School of Mechanical and Automotive Engineering, Qilu University of Technology, Jinan, China

Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China

School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

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2021

10.1016/j.gmod.2021.101099

Graphical models

Graphical models

EISCI
ISSN：1524-0703
年,卷(期)：2021.118(1)
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