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Code: CS 893 JIS College of Engineering, WBUT
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Code: CS 893 JIS College of Engineering, WBUT The Augmented Reality Technique Virtual Trial Room VTR Abhinav Biswas & Soumalya Dutta Presented By:
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VTR. Code: CS 893 JIS College of Engineering, WBUT. Virtual Trial Room. The Augmented Reality Technique. Presented By:. Abhinav Biswas & Soumalya Dutta. VTR. What is it ?. Portrays an augmented view of the user in a dynamic real-time Live Video mode with virtual superimposed clothes - PowerPoint PPT Presentation
Transcript of Code: CS 893 JIS College of Engineering, WBUT
Code: CS 893JIS College of Engineering, WBUT
The Augmented Reality Technique
Virtual Trial Room
VTR
Abhinav Biswas & Soumalya Dutta
Presented By:
What is it ?VTR
Portrays an augmented view of the user in a dynamic real-time Live Video modewith virtual superimposed clothes
Implements a virtual mirrorwith interactive digital options onscreen
Immediately allows the user to see if a clothing’s color/style suits his/her bodybefore he can actually decide to buy it.
A software that :
How to use it ?VTR
User stands in front of the digital screenVarious onscreen options get displayedLike Category (Men, Women, Kids).
Selects option using simple Hand MotionThen the augmented image with virtual clothes is shown.
Adjusts the placement of the cloth itemWith 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.
An intuitive way :
How we made it ?
VTR
Face Tracking, Motion DetectionOpenCV 2.3.1
Swing Java 1.6,Front-end GUI.
JavaCV – The OpenCV WrapperWith hardware accelerated image processing features.
Eclipse Helios 3.6The wonder tool, An extensive IDE
Technologies used :
OpenCV
VTR
System DesignGrab video frame from Webcam
& flip it.
Track selected options based on detected motion & act
accordinglyOptions
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
Face TrackingVTR
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
The HaarCascade Classifier method :
Motion Detection
VTR
Absolute difference of consecutive frames with threshold value.
Detection of Hand motion in pre-defined areas.
System response based on selected option.
Frame Difference method :
Future ScopeVTR
Implementation : Retail Industry – Shopping Malls Online Web Shopping
New Features :one-click share on Facebook.com virtual mirror for eye-wear (sunglasses) &
necklaceAutomated smile detection for easy
snapshot.Auto-suggestion of cloth items, etc.
Thank You !
Presented By:Mr. Abhinav Biswas,Mr. Soumalya Dutta
VTR
http://abhinavtheprince.blogspot.com
