Real time virtual dressing room is used in shops, mall and any shopping center. Trying cloths in shopping center is actually a time consuming activity. Besides, it might not even be possible to try on clothes in such cases as online shopping. Our motivation is to increase time efficiency and improve the accessibility of clothes try on by creating virtual dressing room environment. Our aim is to build an interactive and highly realistic virtual machine on which the user can try cloths without wearing it actually.
Nikita Deshmukh : Computer Department, SPPU, Pune, Maharashtra, India
Ishani Patil : Computer Department, SPPU, Pune, Maharashtra, India
Sudehi Patwari : Computer Department, SPPU, Pune, Maharashtra, India
Aarati Deshmukh : Computer Department, SPPU, Pune, Maharashtra, India
Pradnya Mehta : Computer Department, SPPU, Pune, Maharashtra, India
Image Processing, Edge Feature, Face Detection, Skin Color Detection
We can say that for implementing the real time virtual dressing room different technologies, frameworks and algorithms are used. We concluded that this is very time saving activity. It does not require more efforts. This virtual machine is used by any non-technical person. It does not require much technical knowledge. So, it is user friendly. So it is an optimal addition for cloth store. Overall, the presented virtual dressing room seems to be good solution for quick and accurate try on of cloths virtually.
[1] Y. Gao. E. Petersson, and A.L. Brooks, “The Performance of Self in the Context of Shopping in a Virtual Dressing Room System,” “in press” HCI International 2014, 22-27 June, Creta Maris, Heraklion, Crete, Greece, 2014
[2] Kaoru Nakamura, “Basics.”, in The Kinect for Windows SDK Programming for C++, PlaS ONE, Volume 1, pp.34-103,(2012)
[3] Gary Btadski and Syouiti Madtuda,”Defined.” In Learn OpenCV, PloS ONE, Volume 1, pp.225-266,(2012)
[4] Toyobuki Tanisiri,”Kinect SDK Programming.” In Kinect Sensor image processing program. PloS ONE, Volume 1, pp.42-115,(2011)
[5] Masao Shimizu, “The detection of a pattern and the figure.” In Digital image Processing, PloS ONE, Volume 1, pp.202-219,(2011)
[6] P. Ian Wilson and Dr. J. Fernandez “Facial feature detection using Haar classifiers,” JCSC 21, 4(April 2006)
[7] J. Young Choi, Y. Man Ro and Konstantinos N. Plataniotis,” Color Local Texture Features for Color Face Recognition” in proceedings of IEEE Conference, 2011
[8] Volino P. Magnenat-Thalmann N. (2000) “Virtual Clothing-Theory and Practice”. Springer, Berlin Heidelberg.
[9] Yinghua Lu, Yuanhui Wangl, Xianliang Tong, Zebai Zhao 1, Hongru Jia, Jun Kong, “ Face Tracking in Video Sequences Using Practicle Filter based on the Skin Color Model and Facial Contour”, IEEE Tranas. Second International Symposium on Intelligent Information Technology Application, VOL. 29. No. 8, pp. 978-0-7695-3497-8. August 2007.
[10]R. Bajcsy and S.Kovacic. Multiresolution elastic matching. Computer vision, graphics, and image processing, 46(1): 1-21, 1989
