The Drawing Assistant: Automated Drawing Guidance and Feedback from Photographs

Emmanuel Iarussi 1 Adrien Bousseau 1 Theophanis Tsandilas 2, 3
1 REVES - Rendering and virtual environments with sound
CRISAM - Inria Sophia Antipolis - Méditerranée
2 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We present an interactive drawing tool that provides automated guidance over model photographs to help people practice traditional drawing-by-observation techniques. The drawing literature describes a number of techniques to support this task and help people gain consciousness of the shapes in a scene and their relationships. We compile these techniques and derive a set of construction lines that we automatically extract from a model photograph. We then display these lines over the model to guide its manual reproduction by the user on the drawing canvas. Finally, we use shape-matching to register the user's sketch with the model guides. We use this registration to provide corrective feedback to the user. Our user studies show that automatically extracted construction lines can help users draw more accurately. Furthermore, users report that guidance and corrective feedback help them better understand how to draw.
Type de document :
Communication dans un congrès
ACM Symposium on User Interface Software and Technology (UIST), Oct 2013, St Andrews, United Kingdom. ACM, 2013
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https://hal.inria.fr/hal-00840853
Contributeur : Adrien Bousseau <>
Soumis le : mardi 16 juillet 2013 - 09:25:55
Dernière modification le : jeudi 5 avril 2018 - 12:30:12
Document(s) archivé(s) le : jeudi 17 octobre 2013 - 04:14:59

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  • HAL Id : hal-00840853, version 2

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Emmanuel Iarussi, Adrien Bousseau, Theophanis Tsandilas. The Drawing Assistant: Automated Drawing Guidance and Feedback from Photographs. ACM Symposium on User Interface Software and Technology (UIST), Oct 2013, St Andrews, United Kingdom. ACM, 2013. 〈hal-00840853v2〉

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