Enlarging Database and Exracting Descriptors at Ones

Until now,we executed our application according to  one picture. When we decided to enlarge our image database, we encountered lots of problems. The larger database we have, the more modular code we have to write. With this approach:

•  We detected key points at the beginning of the program execution ,
•  extracted descriptors from these keypoints
• and then we had descriptor list of all our images.

While program is running, takes the scenes frame by frame, extracts descriptors then compares these descriptors with our image descriptor list. After getting the best good match score, it returns related image location. Then application redirects user to the related image's content web link.

At this point we have three different images.Two of them are unrelated with the scene which we direct our tablet cameras. And one of them is true picture of the camera vision. And our application can distinguish our scene from other two unrelated pictures and redirects us to related web sites. And now application is faster than the way it was before although now it has more pictures to work.