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Bas-relief modeling from normal images with intuitive styles

Ji, Zhongping, Ma, Weiyin and Sun, Xianfang ORCID: 2014. Bas-relief modeling from normal images with intuitive styles. IEEE Transactions on Visualization and Computer Graphics 20 (5) , pp. 675-685. 10.1109/TVCG.2013.267

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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 basreliefs 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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: IEEE
ISSN: 1077-2626
Funders: EPSRC
Date of First Compliant Deposit: 28 October 2020
Date of Acceptance: 24 November 2013
Last Modified: 07 Nov 2023 07:14

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