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Free-Hand Sketch Synthesis with Deformable Stroke Models

Li, Y., Song, Yi-Zhe, Hospedales, T.M. and Gong, S. (2017) Free-Hand Sketch Synthesis with Deformable Stroke Models International Journal of Computer Vision, 122. pp. 169-190.

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Abstract

We present a generative model which can automatically summarize the stroke composition of free-hand sketches of a given category. When our model is fit to a collection of sketches with similar poses, it discovers and learns the structure and appearance of a set of coherent parts, with each part represented by a group of strokes. It represents both consistent (topology) as well as diverse aspects (structure and appearance variations) of each sketch category. Key to the success of our model are important insights learned from a comprehensive study performed on human stroke data. By fitting this model to images, we are able to synthesize visually similar and pleasant free-hand sketches. © 2016, The Author(s).

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Li, Y.
Song, Yi-Zhey.song@surrey.ac.uk
Hospedales, T.M.
Gong, S.
Date : 2017
DOI : 10.1007/s11263-016-0963-9
Copyright Disclaimer : © The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords : Deformable stroke model; Perceptual grouping; Sketch synthesis; Stroke analysis
Depositing User : Clive Harris
Date Deposited : 22 Jul 2019 09:59
Last Modified : 22 Jul 2019 09:59
URI: http://epubs.surrey.ac.uk/id/eprint/852121

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