Skip to main content
Log in

DressBoard: An Embedded Virtual Try-On System for Ties and Bowties

  • Published:
Journal of Signal Processing Systems Aims and scope Submit manuscript


In real life, trying a dress is generally physically exhausting and time consuming. In this study, a novel embedded virtual try-on system for ties and bowties is proposed, which will save time and enhance the shopping experience. The presented system is based on human computer interaction with embedded design, where the goal is to simulate tie/bowtie trial on a person in the camera view. Users can choose a tie/bowtie model available in the database via a touch screen. The system will then fit the selected model rapidly and accurately, and display the fitting result. Performance of the proposed system is experimentally evaluated on images acquired in a real-life scenario. The results showed that both fitting accuracy and process time vary almost-linearly with image resolution, where real-time and accurate (average error varies in the 0.5–5.0 cm range by resolution) performance can be achieved. In addition, the proposed system can handle fitting in videos, where experimental evaluations revealed real-time, accurate, and robust (to illumination change and image variations) performance even in the absence of collared garment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14

Similar content being viewed by others


  1. Burke, R. R. (2002). Technology and the customer interface: what consumers want in the physical and virtual store. Journal of the Academy of Marketing Science, 30(4), 411–432.

    Article  Google Scholar 

  2. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64.

    Article  Google Scholar 

  3. Cordier, F., Seo, H., & Magnenat-Thalmann, N. (2003). Made-to-measure technologies for an online clothing store. IEEE Computer Graphics and Applications, 23(1), 38–48.

    Article  Google Scholar 

  4. Fuhrmann, A., Gro, C., Luckas, V., & Weber, A. (2003). Interaction-free dressing of virtual humans. Computers and Graphics-UK, 27(1), 71–82.

    Article  Google Scholar 

  5. Meng, Y., Mok, P., & Jin, X. (2010). Interactive virtual try-on clothing design systems. Computer-Aided Design, 42(4), 310–321.

    Article  Google Scholar 

  6. Divivier A., Trieb D. R., Ebert A., Hagen H., Gross, C., Fuhrmann, A., et. al. (2004). Virtual try-on topics in realistic, individualized dressing in virtual reality, In Proceedings of the Virtual and Augmented Reality Status Conference.

  7. Eisert P., Rurainsky J., & Fechteler P. (2007). Virtual mirror: Real-time tracking of shoes in augmented reality environments. IEEE International Conference on Image Processing (ICIP), 2, 557–560.

  8. Yang, Y., Thalmann, N. M., Cui, M., Genve, U. D., & Thalmann, D. (1992). 3d garment design and animation—a new design tool for the garment industry. Computers in Industry, 19, 185–191.

    Article  Google Scholar 

  9. Wang, A. C. L., Wang, Y., & Yuen, M. M. F. (2002). Feature based 3d garment design through 2d sketches. Computer-Aided Design, 35(7), 659–672.

    Article  Google Scholar 

  10. Chittaro L. and Corvaglia D. (2003). 3D virtual clothing: from garment design to web3d visualization and simulation. Proceeding of the Eighth International Conference on 3D Web Technology, pp. 73–85.

  11. Decaudin, P., Julius, D., Wither, J., Boissieux, L., Sheffer, A., & Cani, M.-P. (2006). Virtual garments: A fully geometric approach for clothing design. Computers and Graphics Forum, 25(3), 625–634. special Issue: Eurographics’06.

    Article  Google Scholar 

  12. Durupinar, F., & Gudukbay, U. (2007). A virtual garment design and simulation system. Information Visualization, IV '07. 11th International Conference, pp. 862–870.

  13. Wang, J., Lu, G., Li, W., Chen, L., & Sakaguti, Y. (2009). Interactive 3D garment design with constrained contour curves and style curves. Computer-Aided Design, 41(9), 614–625.

    Article  Google Scholar 

  14. Sayem, A. S. M., Kennon, R., & Clarke, N. (2010). 3d cad systems for the clothing industry. International Journal Fashion Design, Technology Education, 3(2), 45–53.

    Article  Google Scholar 

  15. Wenpeng, X., & Xiaohuang, Q. (2010). Sketch-based parameterized garment modeling. Third International Conference on Information and Computing, 3, 248–251.

    Google Scholar 

  16. Au, C. K., & Mab, Y.-S. (2010). Garment pattern definition, development and application with associative feature approach. Computers in Industry, 61(6), 524–531.

    Article  Google Scholar 

  17. Wang, J., Lu, G., Chen, L., Geng, Y., & Weiyan, D. (2011). Customer participating 3D garment design for mass personalization. Textile Research Journal, 81(2), 187–204.

    Article  Google Scholar 

  18. Haiqiao, H. (2011). Development of 2D block patterns from fit feature-aligned flattenable 3D garments. Ph.D. Thesis, The Hong Kong Polytechnic University, Institute of Textiles and Clothing.

  19. FriendlyARM mini2440 User Guide [online], Available:, January 2012.

  20. Viola, P., & Jones, M. (2004). Robust real-time face detection. International Journal of Computer Vision, 57, 137–154.

    Article  Google Scholar 

  21. Erdem, C. E., Ulukaya, S., Karaali, A., & Erdem, A. T. (2011). Combining haar feature and skin color based classifiers for face detection. IEEE International. Conference of Acoustics, Speech and Signal Processing (ICASSIP), pp. 1497–1500.

  22. Sawangsri, T., Patanavijit, V., & Jitanpunkul, S. (2005). Face segmentation based on Hue-Cr components and morphological technique. IEEE International Symposium on Circuit and Systems (ISCAS), 6, 5401–5404.

    Google Scholar 

  23. Frings, M. (2002). The golden section in architectural theory. Nexus Network Journal, 4, 9–32.

    Article  MathSciNet  Google Scholar 

  24. Meng, Y., Wang, C. C. L., & Jin, X. (2012). Flexible shape control for automatic resizing of apparel products. Computer-Aided Design, 44(1), 68–76.

    Article  Google Scholar 

Download references


This work was supported in part by the Turkish Chamber of Electrical Engineers.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Devrim Ünay.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kaya, M., Ünay, D. DressBoard: An Embedded Virtual Try-On System for Ties and Bowties. J Sign Process Syst 73, 143–152 (2013).

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: