##Summary An application able to recognize (classify) various 3D objects (at least 10) appearing in a video stream. Using geometric verification and homography to contour the recognized object. ##Objectives
- Implementing visual recognition on a video stream
- Local features based matching
- Augmenting the reality with with homography based contouring
- Searching between the training data the most similar object/image/face and determining if it is the very same.
##Dataset At least 10 objects should be recognized.
##Expected results
- features extraction
- features matching
- Homography understanding
- fluid video displaying
##Suggested tools
- OpenCV
##Screenshots:
