Some find it tiresome and time consuming to try clothes in clothing stores. Previously, people used to spend a lot of time while shopping. Due to technological advances, online shopping has become very popular recently. Besides, it might not even be possible to try-on clothes in such cases as online shopping. It could be easier if one could see whether or not the clothes would fit without having to take off one’s own clothes to try out the new ones, and without having to wait in a long queue outside the fitting rooms.
Virtual mirror projects provide support for online shopping by offering the facility of selected clothes try-on. Therefore, users can see how they look in the clothes without physically putting them on, and without spending a lot time. OpenNI organization develops an open- source, cross platform framework to process the data from a Kinect sensor. Microsoft Research has also released the Kinect SDK a robust real time skeletal body tracker. Different virtual mirror projects have been in progress recently. For example, Givonni et al. presents a virtual try-on system, which allows performance comparisons of their system with two skeletal tracking SDKs: OpenNI and Kinect for Windows SDK [1]. Zhou et al. proposes a real time approach for virtual clothes fitting using Kinect [2].