way to use in iPhone and iPad App
I am newbie in the field of computer vision. I have gone through a lot of documentation and OpenCV docs. I tried to understand the algorithms also , even I also applied the FAST, SURF, SIFT, ORB and others for detecting key-points and descriptors and for find matching with the Image ,applied the BruteForce, FLANN (using knnMatch method also). They all are working fine for a single Image or a group of 10 Images ( in terms of Time and Match Result Both). In the terms of iOS I stored the Images key-points and descriptors using the FileManager in .yml format. and Later on fetch by using loop, by applying number of count of Images to match one by one. When I tried to match with a 100 Images , it is taking approximately 10 seconds to move through the whole loop.
I am working on scenario where I have 1000 of Images and then when I will take a picture from camera , it will go through the whole Image and return the best identical matched Image.
I have some doubts like : - 1. Is I am doing correct by fetching in first the key-points and descriptors of all the Images and stored in a file ,OR, I have to do something else? 2. Is the method of retrieving the stored descriptor by applying the loop is OK, OR , I have to apply something else?
Please help me in perspective of iPhone App. I am Very thankful for this.
If any user don't know the answer, then why he/she will vote it -1 . this is the fault of that user. I am very Upset of this type of behaviour. Really Shamefull
Or Help me to Improve the way of asking question or ask for any more detail. But really the one who done this really a SHAME-FULL Activity.