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Expressive line drawings of human faces from range images

Huang, YueZhu, Martin, Ralph Robert, Rosin, Paul L. ORCID:, Meng, XiangXu and Yang, ChengLei 2009. Expressive line drawings of human faces from range images. Science in China Series F: Information Sciences 52 (2) , pp. 295-307. 10.1007/s11432-009-0039-3

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We propose a novel technique to extract features from a range image and use them to produce a 3D pen-and-ink style portrait similar to a traditional artistic drawing. Unlike most previous template-based, component-based or example-based face sketching methods, which work from a frontal photograph as input, our system uses a range image as input. Our method runs in real-time for models of moderate complexity, allowing the pose and drawing style to be modied interactively. Portrait drawing in our system makes use of occluding contours and suggestive contours as the most important shape cues. However, current 3D feature line detection methods require a smooth mesh and cannot be reliably applied directly to noisy range images. We thus present an improved silhouette line detection algorithm. Feature edges related to the signicant parts of a face are extracted from the range image, connected, and smoothed, allowing us to construct chains of line paths which can then be rendered as desired. We also incorporate various portrait-drawing principles to provide several simple yet eective non-photorealistic portrait renderers such as a pen-and-ink shader, a hatch shader and a sketch shader. These are able to generate various life-like impressions in dierent styles from a user-chosen viewpoint. To obtain satisfactory results, we rene rendered output by smoothing changes in line thickness and opacity. We are careful to provide appropriate visual cues to enhance the viewer's comprehension of the human face. Our experimental results demonstrate the robustness and eectiveness of our approach, and further suggest that our approach can be extended to other 3D geometric objects.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Portrait drawing ; non-photorealistic rendering ; line drawing ; suggestive contour ; occluding contour ; feature line ; stylization.
Publisher: Science in China Press, co-published with Springer-Verlag GmbH
ISSN: 1009-2757
Last Modified: 17 Oct 2022 09:42

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