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Article: Portrait Relief Modeling from a Single Image

TitlePortrait Relief Modeling from a Single Image
Authors
Issue Date2020
PublisherIEEE. The Journal's web site is located at http://www.computer.org/tvcg
Citation
IEEE Transactions on Visualization and Computer Graphics, 2020, v. 26 n. 8, p. 2659-2670 How to Cite?
AbstractWe present a novel solution to enable portrait relief modeling from a single image. The main challenges are geometry reconstruction, facial details recovery and depth structure preservation. Previous image-based methods are developed for portrait bas-relief modeling in 2.5D form, but not adequate for 3D-like high relief modeling with undercut features. In this paper, we propose a template-based framework to generate portrait reliefs of various forms. Our method benefits from Shape-from-Shading (SFS). Specifically, we use bi-Laplacian mesh deformation to guide the relief modeling. Given a portrait image, we first use a template face to fit the portrait. We then apply bi-Laplacian mesh deformation to align the facial features. Afterwards, SFS-based reconstruction with a few user interactions is used to optimize the face depth, and create a relief with similar appearance to the input. Both depth structures and geometric details can be well constructed in the final relief. Experiments and comparisons to other methods demonstrate the effectiveness of the proposed method.
Persistent Identifierhttp://hdl.handle.net/10722/293780

 

DC FieldValueLanguage
dc.contributor.authorZhang, YW-
dc.contributor.authorZhang, C-
dc.contributor.authorWang, WP-
dc.contributor.authorChen, Y-
dc.contributor.authorJi, Z-
dc.contributor.authorLiu, H-
dc.date.accessioned2020-11-23T08:21:41Z-
dc.date.available2020-11-23T08:21:41Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Visualization and Computer Graphics, 2020, v. 26 n. 8, p. 2659-2670-
dc.identifier.urihttp://hdl.handle.net/10722/293780-
dc.description.abstractWe present a novel solution to enable portrait relief modeling from a single image. The main challenges are geometry reconstruction, facial details recovery and depth structure preservation. Previous image-based methods are developed for portrait bas-relief modeling in 2.5D form, but not adequate for 3D-like high relief modeling with undercut features. In this paper, we propose a template-based framework to generate portrait reliefs of various forms. Our method benefits from Shape-from-Shading (SFS). Specifically, we use bi-Laplacian mesh deformation to guide the relief modeling. Given a portrait image, we first use a template face to fit the portrait. We then apply bi-Laplacian mesh deformation to align the facial features. Afterwards, SFS-based reconstruction with a few user interactions is used to optimize the face depth, and create a relief with similar appearance to the input. Both depth structures and geometric details can be well constructed in the final relief. Experiments and comparisons to other methods demonstrate the effectiveness of the proposed method.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://www.computer.org/tvcg-
dc.relation.ispartofIEEE Transactions on Visualization and Computer Graphics-
dc.rightsIEEE Transactions on Visualization and Computer Graphics. Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titlePortrait Relief Modeling from a Single Image-
dc.typeArticle-
dc.identifier.emailWang, WP: wenping@cs.hku.hk-
dc.identifier.authorityWang, WP=rp00186-
dc.identifier.doi10.1109/TVCG.2019.2892439-
dc.identifier.hkuros319307-
dc.identifier.volume26-
dc.identifier.issue8-
dc.identifier.spage2659-
dc.identifier.epage2670-

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