An efficient brush model for real-time oil painting using image processing algorithms

Mohsen Dorraki; Saeed Shiry Ghidary; Mohammad Bagher Menhaj

doi:10.1109/ICIEA.2012.6360837

An efficient brush model for real-time oil painting using image processing algorithms

Mohsen Dorraki, Saeed Shiry Ghidary, Mohammad Bagher Menhaj

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This approach simulates the physical process of the brush movement using a parametric model, based on three dimensional geometric parameters of the AUT Brush. AUT Brush is a model-based device with which one can paint on an ordinary computer monitor. The position of the brush is located using a camera mounted on the brush handle. Then, image processing algorithms are used to calculate the amount of brush touch with screen. To do this, a geometric shape model of brush is used to measure the brush force by simulating Force-Resistor dynamic of FSR. Additionally, the brush tip is modeled for different situations by using fuzzy computational algorithms. Consequently, stroke trajectory footprints are generated by footprint modeling.

Original language	English
Title of host publication	Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages	819-823
Number of pages	5
DOIs	https://doi.org/10.1109/ICIEA.2012.6360837
Publication status	Published or Issued - 2012
Externally published	Yes
Event	2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore Duration: 18 Jul 2012 → 20 Jul 2012

Publication series

Name	Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Conference

Conference	2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/Territory	Singapore
City	Singapore
Period	18/07/12 → 20/07/12

Keywords

brush modeling
color modeling
digital painting
virtual brush
virtual reality

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICIEA.2012.6360837

Cite this

Dorraki, M., Ghidary, S. S., & Menhaj, M. B. (2012). An efficient brush model for real-time oil painting using image processing algorithms. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 (pp. 819-823). Article 6360837 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). https://doi.org/10.1109/ICIEA.2012.6360837

Dorraki, Mohsen ; Ghidary, Saeed Shiry ; Menhaj, Mohammad Bagher. / An efficient brush model for real-time oil painting using image processing algorithms. Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. pp. 819-823 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012).

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title = "An efficient brush model for real-time oil painting using image processing algorithms",

abstract = "This approach simulates the physical process of the brush movement using a parametric model, based on three dimensional geometric parameters of the AUT Brush. AUT Brush is a model-based device with which one can paint on an ordinary computer monitor. The position of the brush is located using a camera mounted on the brush handle. Then, image processing algorithms are used to calculate the amount of brush touch with screen. To do this, a geometric shape model of brush is used to measure the brush force by simulating Force-Resistor dynamic of FSR. Additionally, the brush tip is modeled for different situations by using fuzzy computational algorithms. Consequently, stroke trajectory footprints are generated by footprint modeling.",

keywords = "brush modeling, color modeling, digital painting, virtual brush, virtual reality",

author = "Mohsen Dorraki and Ghidary, \{Saeed Shiry\} and Menhaj, \{Mohammad Bagher\}",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 ; Conference date: 18-07-2012 Through 20-07-2012",

year = "2012",

doi = "10.1109/ICIEA.2012.6360837",

language = "English",

isbn = "9781457721175",

series = "Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012",

pages = "819--823",

booktitle = "Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012",

}

Dorraki, M, Ghidary, SS & Menhaj, MB 2012, An efficient brush model for real-time oil painting using image processing algorithms. in Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012., 6360837, Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, pp. 819-823, 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, Singapore, Singapore, 18/07/12. https://doi.org/10.1109/ICIEA.2012.6360837

An efficient brush model for real-time oil painting using image processing algorithms. / Dorraki, Mohsen; Ghidary, Saeed Shiry; Menhaj, Mohammad Bagher.
Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. p. 819-823 6360837 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This approach simulates the physical process of the brush movement using a parametric model, based on three dimensional geometric parameters of the AUT Brush. AUT Brush is a model-based device with which one can paint on an ordinary computer monitor. The position of the brush is located using a camera mounted on the brush handle. Then, image processing algorithms are used to calculate the amount of brush touch with screen. To do this, a geometric shape model of brush is used to measure the brush force by simulating Force-Resistor dynamic of FSR. Additionally, the brush tip is modeled for different situations by using fuzzy computational algorithms. Consequently, stroke trajectory footprints are generated by footprint modeling.

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KW - color modeling

KW - digital painting

KW - virtual brush

KW - virtual reality

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Dorraki M, Ghidary SS, Menhaj MB. An efficient brush model for real-time oil painting using image processing algorithms. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. p. 819-823. 6360837. (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). doi: 10.1109/ICIEA.2012.6360837

An efficient brush model for real-time oil painting using image processing algorithms

Abstract

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Keywords

ASJC Scopus subject areas

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