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Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs

Wu, J. ORCID:, Martin, R. R., Rosin, P. L. ORCID:, Sun, X. ORCID:, Lai, Y. ORCID:, Liu, Y. - H. and Wallraven, C. 2014. Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs. Graphical Models 76 (4) , pp. 202-213. 10.1016/j.gmod.2014.02.002

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Automatic bas-relief generation from 2D photographs potentially has applications to coinage, commemorative medals and souvenirs. However, current methods are not yet ready for real use in industry due to insufficient artistic effect, noticeable distortion, and unbalanced contrast. We previously proposed a shape-from-shading (SFS) based method to automatically generate bas-reliefs from single frontal photographs of human faces; however, suppression of unwanted details remained a problem. Here, we give experimental results showing how incorporating non-photorealistic rendering (NPR) into our previous framework enables us to both suppress unwanted detail, and yet also emphasize important features. We have consider an alternative approach to recovering relief shape, based on photometric stereo instead of SFS for surface orientation estimation. This can effectively reduce the computational time.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: Pdf uploaded in accordance with publisher's policy at (accessed 23/10/14). NOTICE: this is the author’s version of a work that was accepted for publication in Graphical Models. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Graphical Models, [VOL 76, ISSUE 4, 2014] DOI 10.1016/j.gmod.2014.02.002
Publisher: Elsevier
ISSN: 1524-0703
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 12 February 2014
Last Modified: 09 Nov 2023 19:25

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