Real-time bas-relief generation from depth-and-normal maps on GPU

Ji, Zhongping, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Li, Shi and Wang, Yigang 2014. Real-time bas-relief generation from depth-and-normal maps on GPU. Computer Graphics Forum 33 (5) , pp. 75-83. 10.1111/cgf.12433

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Abstract

To design a bas-relief from a 3D scene is an inherently interactive task in many scenarios. The user normally needs to get instant feedback to select a proper viewpoint. However, current methods are too slow to facilitate this interaction. This paper proposes a two-scale bas-relief modeling method, which is computationally efficient and easy to produce different styles of bas-reliefs. The input 3D scene is first rendered into two textures, one recording the depth information and the other recording the normal information. The depth map is then compressed to produce a base surface with level-of-depth, and the normal map is used to extract local details with two different schemes. One scheme provides certain freedom to design bas-reliefs with different visual appearances, and the other provides a control over the level of detail. Finally, the local feature details are added into the base surface to produce the final result. Our approach allows for real-time computation due to its implementation on graphics hardware. Experiments with a wide range of 3D models and scenes show that our approach can effectively generate digital bas-reliefs in real time.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Categories and Subject Descriptors (according to ACM CCS);I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Modeling packages.
Additional Information:	PDF uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0167-7055/ (accessed 09.01.15).
Publisher:	Wiley
ISSN:	0167-7055
Funders:	EPSRC
Date of First Compliant Deposit:	30 March 2016
Date of Acceptance:	17 June 2014
Last Modified:	02 Dec 2024 09:15
URI:	https://orca.cardiff.ac.uk/id/eprint/61825

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