AD_Project

AD_Project

1. Desktop_App

   • Extract intersting point
     • detect interst point using FAST features
       • using opencv comman interface for features point
     • detect Harris corners
   • Matching
     • scale invarient SURF features
     • descriping SURF features
       • match_discriptor
   • Camera calibration
     • detect corners of image
     • match two images
       • intersting point matches
       • using random sample consensus(diff viewpoint)

2. Android_App

   • Phase_1
     • Object detection
       • STAR
       • ORB
       • FREAK
     • Matching
       • Brute Force_HAMMING
     • Search for img in Database
     • Performance_1
       • Resolution
       • Algorithm
       • fps(frame per sec)
       • Time
     • Replace img with video
   • Phase_2
     • Performance_2
     • Augmented Reality

Images and files in the map