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Pencil-like sketch rendering of 3D scenes using trajectory planning and dynamic tracking
Affiliation:1. Sapienza University of Rome, Italy;2. University of Padua, Italy;1. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;2. Computer & Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA;1. Institute for Ion Physics and Applied Physics, University of Innsbruck, Technikerstraße 25b, 6020 Innsbruck, Austria;2. V. ?ermák Laboratory, J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, Dolej?kova 3, 182 23 Prague 8, Czech Republic;1. Dipartimento di Ingegneria, Università degli Studi di Perugia, Italy;2. University of Crete and Institute of Computer Science-FORTH, Greece;1. Università di Bari Aldo Moro, Dipartimento di Informatica, Via Orabona 4, 70125 Bari, Italy;2. Politecnico di Milano, Dipartimento di Elettronica e Informazione, Via Ponzio 34/5, 20133 Milano, Italy
Abstract:Objective: We present a new non-photorealistic rendering method to render 3D scenes in the form of pencil-like sketches.Methods: This work is based on the observation that the dynamic feedback mechanism involving the human visual system and the motor control of the hand collectively generates the visual characteristics unique to hand-drawn sketches. At the heart of our approach is a trajectory planning and tracking algorithm that generate the sketch in multiple layers using a dynamic pen model. On each layer, a set of target strokes are generated from the silhouette lines, edges, and shaded regions which serve as the target trajectory for a closed-loop dynamic pen model. The pen model then produces the rendered sketch, whose characteristics can be adjusted with a set of trajectory and tracking parameters. This process continues in several layers until the tonal difference between the sketch and the original 3D render is minimized.Results: We demonstrate our approach with examples that are created by controlling the parameters of our sketch rendering algorithms.Conclusion: The examples not only show typical sketching artifacts that are common to human-drawn sketches but also demonstrate that it is capable of producing multiple sketching styles.
Keywords:Non-photorealistic rendering  Dynamic pen model  Drawing style
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