Our matching algorithm uses aneffective method to detect a specified target of users in a cluttered scene. This method detects multiple users simultaneously based on their specific data. For instance, by using this method, one can recognize a specific user in a cluttered scene, but not any other person.
The algorithm is based on comparing and analyzing point correspondences between the reference data and the target data consisting three main classes:
o Location Class
o Product Class
o User Class
If any part of the cluttered data shares correspondences greater than the threshold, that part of the cluttered data is targeted and considered to include the class reference.
Connection Terminal for Industrial Goods
