- Using homography checking and adding a system to score the matches I narrowed down our matching from 5 possible guesses to 1.
- We also sped up the matching algorithm to around 2-3 seconds per match for our binary descriptors.
- We also changed from a json system to a proto file based system that is smaller and faster. This is proto buffer by google which is used in the maps project as well as many others.
- We also created one load function so now all the files are loaded once instead of for every matching process. All these clusters are stored into ram.
We are now working on getting the mobile application to send these to the server code. We have a prototype up and running on our rackspace cloud now.
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