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      Interactive 3D Face Stylization Using Sculptural Abstraction

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          Abstract

          Sculptors often deviate from geometric accuracy in order to enhance the appearance of their sculpture. These subtle stylizations may emphasize anatomy, draw the viewer's focus to characteristic features of the subject, or symbolize textures that might not be accurately reproduced in a particular sculptural medium, while still retaining fidelity to the unique proportions of an individual. In this work we demonstrate an interactive system for enhancing face geometry using a class of stylizations based on visual decomposition into abstract semantic regions, which we call sculptural abstraction. We propose an interactive two-scale optimization framework for stylization based on sculptural abstraction, allowing real-time adjustment of both global and local parameters. We demonstrate this system's effectiveness in enhancing physical 3D prints of scans from various sources.

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          KinectFusion: Real-time dense surface mapping and tracking

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            High-quality single-shot capture of facial geometry

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              Robust single-view geometry and motion reconstruction

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                Author and article information

                Journal
                2015-02-06
                Article
                1502.01954

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                9 pages, 16 figures. For associated video and to download some of the results, see the project webpage at http://wp.doc.ic.ac.uk/robotvision/project/face-stylization/
                cs.GR cs.CG

                Theoretical computer science, Graphics & Multimedia design

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