A Survey for a Virtual Fitting Room by a Mixed Reality Technology



Mixed Reality (MR) has become popular in recent years, due to the fact that it can be applied to many areas, including new learning media, medical training, and manufacturing. Since MR can simulate 3D objects and environments, bringing the user into a virtual world, it allows more perspectives than are seen by using traditional media. MR can be applied to simulate a real fitting room, where the user can try on a virtual dress without taking off any of their clothes. Additionally, it can estimate the size of the user, so they will know their correct clothing size before buying. This MR technology is a powerful decision-making tool for customers in an online clothes shopping environment. By simulating a virtual garment superimposed upon the user body, users can try on virtual clothes as a mirror image, with several angles viewable as they move. This technique can also help customers shop online to select the correct size or type of garment. This should increase confidence when buying garments from websites. Due to advancements in computer technology, a new way to create virtual fitting rooms can be used. In this paper, we have surveyed methodologies and experiments conducted in building virtual fitting rooms. From the survey, it was found that making a good virtual fitting room relies on 2 important factors, i.e., the method of detecting the user’s body size, position, and movement, and the method of displaying the virtual garments superimposed on the user’s body. The first factors are usually solved either by using devices, like Microsoft’s Kinect or the Image Processing technique. The second factor can be accomplished by using augmented reality technology.


Virtual fitting room, mixed reality, augmented reality, virtual reality, virtual

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P Boonbrahm, C Kaewrat and S Boonbrahm. Realistic simulation in virtual fitting room using physical properties of fabrics. Proc. Comput. Sci. 2015; 75, 12-6.

HT Chang, YW Li, HT Chen, SY Feng and TT Chien. A dynamic fitting room based on microsoft kinect and augmented reality technologies. In: Proceedings of the International Conference on Human-Computer Interaction. Springer, Berlin Heidelberg, 2013, p. 177-85.

C Garcia, N Bessou, A Chadoeuf and E Oruklu. Image processing design flow for virtual fitting room applications used in mobile devices. In: Proceedings of the 2012 IEEE International Conference on Electro/Information Technology. Indianapolis, USA, 2012. p. 1-5.

S Hauswiesner, M Straka and G Reitmayr. Virtual try-on through image-based rendering. IEEE Trans. Visual. Comput. Graph. 2013; 19, 1552-65.

F Isikdogan and G Kara. A Real Time Virtual Dressing Room Application using Kinect. CMPE537 Computer Vision Course Project, Chicago, USA, 2012.

R Li, K Zou, X Xu, Y Li and Z Li. Research of interactive 3D virtual fitting room on web environment. In: Proceedings of the 4th International Symposium on Computational Intelligence and Design. Hangzhou, China, 2011, p. 32-5.

R Nakamura, M Izutsu and S Hatakeyama. Estimation method of clothes size for virtual fitting room with kinect sensor. In: Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK, 2013, p. 3733-8.

S Saha, P Ganguly and S Chaudhury. Vision based human pose estimation for virtual cloth fitting. In: Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing. Bangalore, India, 2014, p. 60.

J Scholz and AN Smith. Augmented reality: Designing immersive experiences that maximize consumer engagement. Bus. Horiz. 2016; 59, 149-61.

Z Shou, B Yu, G Chen, H Cai and Q Liu. Key designs in implementing online 3D virtual garment try-on system. In: Proceedings of the 6th International Symposium on Computational Intelligence and Design. Hangzhou, China, 2013, p. 156-9.

L Wang, R Villamil, S Samarasekera and R Kumar. Magic mirror: A virtual handbag shopping system. In: Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, USA, 2012, p. 19-24.

M Yuan, IR Khan, F Farbiz, S Yao, A Niswar and MH Foo. A mixed reality virtual clothes try-on system. IEEE Trans. Multimed. 2013; 15, 1958-68.

G Yolcu, S Kazan and C Oz. Real time virtual mirror using kinect. Balkan J. Electr. Comput. Eng. 2014; 2, 75-8.

Z Zhang. Microsoft kinect sensor and its effect. IEEE Multimed. 2012; 19, 4-10.


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Last updated: 2 August 2017