Exploring Emotion Brushes for a Virtual Reality Painting Tool
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Jungah Son, Misha SraAuthors Info & Claims
Jungah Son, Misha SraAuthors Info & ClaimsArticle No.: 69, Pages 1 - 3
Abstract
We present emoPaint, a virtual reality application that allows users to create paintings with expressive emotion-based brushes and shapes. While previous systems have introduced painting in 3D space, emoPaint focuses on supporting emotional characteristics by allowing users to use brushes corresponding to specific emotions or to create their own emotion brushes and paint with the corresponding visual elements. Our system provides a variety of line textures, shape representations and color palettes for each emotion to enable users to control expression of emotions in their paintings. In this work we describe our implementation and illustrate paintings created using emoPaint.
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References
[1]
Xavier Alameda-Pineda, Elisa Ricci, Yan Yan, and Nicu Sebe. 2016. Recognizing emotions from abstract paintings using non-linear matrix completion. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 5240–5248.
[2]
AZquotes. [n.d.]. TOP 25 quotes BY EUGENE Delacroix (of 92): A-Z Quotes. Retrieved August 10, 2021 from https://www.azquotes.com/author/3832-Eugene_Delacroix
[3]
Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, and Jaegul Choo. 2018. Coloring with words: Guiding image colorization through text-based palette generation. In Proceedings of the european conference on computer vision (eccv). 431–447.
[4]
Andrea Brykoca. 2016. Part 1, Project 1, Exercise 1: Expressive lines and marks. Retrieved October 8, 2021 from https://andreabrykoca.wordpress.com/2015/02/10/project-1-exercise-1-expressive-lines-and-marks/
[5]
Jaime Crehan. 2016. Experimenting with expressive lines and marks. Retrieved October 8, 2021 from https://jaimecrehandrawing.wordpress.com/category/coursework/project-1/exercise-1-experimenting-with-expressive-lines-and-marks/
[6]
Marianne Dorn. 2019. Line and emotion: a warm-up exercise. Retrieved October 8, 2021 from http://art2art.org.uk/blog/line-and-emotion-a-warm-up-exercise
[7]
Paul Ekman. 1992. Facial expressions of emotion: New findings, new questions.
[8]
Robert Enoch. 2014. Expressive lines and marks. Retrieved October 8, 2021 from https://cat513511.wordpress.com/2014/10/28/expressive-lines-and-marks/
[9]
Meryl Grung. 2014. Exercise 1 – Expressive lines and marks. Retrieved October 8, 2021 from https://merylgrung.wordpress.com/2014/10/09/exercise-1-expressive-lines-and-marks/
[10]
Jesús Ibáñez and Carlos Delgado-Mata. 2013. Can the same visual modality express arousal or valence depending on the other modalities it is combined with?Procedia Technology 7(2013), 424–435.
[11]
Angela Johnson. 2015. Project 1. Exercise 1. Expressive lines and marks. Retrieved October 8, 2021 from https://drawingangel.wordpress.com/2015/02/05/exercise-1-expressive-lines-and-marks/
[12]
Junghyun Lee, Jongin Choi, and Sanghyun Seo. 2020. Emotion-inspired painterly rendering. IEEE Access 8(2020), 104565–104578.
[13]
Jana Machajdik and Allan Hanbury. 2010. Affective image classification using features inspired by psychology and art theory. In Proceedings of the 18th ACM international conference on Multimedia. 83–92.
[14]
Sabina Radeva. 2017. Exercise 1: Experimenting with expressive lines and marks. Retrieved October 8, 2021 from https://www.sabinaradeva.com/drawing-1-blog/2017/10/15/exercise-1-experimenting-with-expressive-lines-and-marks
[15]
James A Russell. 1980. A circumplex model of affect.Journal of personality and social psychology 39, 6(1980), 1161.
[16]
Infographic Design Team. 2019. 7 Paramount Components of Visual Communication. Retrieved August 10, 2021 from https://www.infographicdesignteam.com/blog/components-of-visual-communication/
[17]
Sicheng Zhao, Yue Gao, Xiaolei Jiang, Hongxun Yao, Tat-Seng Chua, and Xiaoshuai Sun. 2014. Exploring principles-of-art features for image emotion recognition. In Proceedings of the 22nd ACM international conference on Multimedia. 47–56.
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Published In
December 2021
563 pages
ISBN:9781450390927
DOI:10.1145/3489849
Copyright © 2021 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 08 December 2021
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VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology
December 8 - 10, 2021
Osaka, Japan
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