1. Code: CS 893 JIS College of Engineering, WBUT The Augmented Reality Technique Abhinav Biswas & Soumalya Dutta

2.  Portrays an augmented view of the user  in a dynamic real-time Live Video mode  with virtual superimposed clothes  Implements a virtual mirror  with interactive digital options onscreen  Immediately allows the user to see  if a clothing’s color/style suits his/her body  before he can actually decide to buy it.

3.  User stands in front of the digital screen  Various onscreen options get displayed  Like Category (Men, Women, Kids).  Selects option using simple Hand Motion  Then the augmented image with virtual clothes is shown.  Adjusts the placement of the cloth item  With onscreen options like Zoom In/Out, Up/Down etc.  Finally take a snap, save or print it.  Also now the user can decide whether the cloth is worth a buy.

4.  Face Tracking, Motion Detection  OpenCV 2.3.1  Swing Java 1.6,  Front-end GUI.  JavaCV – The OpenCV Wrapper  With hardware accelerated image processing features.  Eclipse Helios 3.6  The wonder tool, An extensive IDE OpenCV

5. Grab video frame from Webcam & flip it. Track selected options based on detected motion & act accordingly Options Adjustment of the overlay Overlay replacement, (Next/Previous) Motion Detection using frame difference method Scaling & Positioning Show frames in a video mode Implement Face Detection on each frame using HaarCascade classifier Super Impose virtual cloth image on the frame based on detected face Parallel Processing

6.  Taking a Large No Samples  Creating the Description file  Packing the positive samples into a vector file  Training the classifier  Converting the trained cascade into a cascade file

7.  Absolute difference of consecutive frames with threshold value.  Detection of Hand motion in pre-defined areas.  System response based on selected option.

8.  Retail Industry – Shopping Malls  Online Web Shopping  one-click share on Facebook.com  virtual mirror for eye-wear (sunglasses) & necklace  Automated smile detection for easy snapshot.  Auto-suggestion of cloth items, etc.

9. Mr. Abhinav Biswas, Mr. Soumalya Dutta http://abhinavtheprince.blogspot.com