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Empathic Painting: Interactive stylization using observed emotional state

Shugrina, M, Betke, M and Collomosse, J (2006) Empathic Painting: Interactive stylization using observed emotional state In: 4th International Symposium on Non-Photorealistic Animation and Rendering, 2006-06-05 - 2006-06-07, Annecy, France.

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We present the "empathie painting" - an interactive painterly rendering whose appearance adapts in real time to reflect the perceived emotional state of the viewer. The empathie painting is an experiment into the feasibility of using high level control parameters (namely, emotional state) to replace the plethora of low-level constraints users must typically set to affect the output of artistic rendering algorithms. We describe a suite of Computer Vision algorithms capable of recognising users' facial expressions through the detection of facial action units derived from the FACS scheme. Action units are mapped to vectors within a continuous 2D space representing emotional state, from which we in turn derive a continuous mapping to the style parameters of a simple but fast segmentation-based painterly rendering algorithm. The result is a digital canvas capable of smoothly varying its painterly style at approximately 4 frames per second, providing a novel user interactive experience using only commodity hardware.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Shugrina, M
Betke, M
Collomosse, J
Date : June 2006
DOI : 10.1145/1124728.1124744
Contributors :
ContributionNameEmailORCID Press,
Additional Information : © ACM, 2006. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, 2006,
Depositing User : Symplectic Elements
Date Deposited : 08 Apr 2014 09:23
Last Modified : 31 Oct 2017 16:39

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