System and method for object recognition

A computer implemented method of object recognition of an object to be identified, the method comprising the steps of:

• acquiring, by a mobile device, a plurality of pictures of said object;
• sending the acquired pictures to a cloud server;
• reconstructing, by the cloud server, a 3D model of the object, to derive the 3D points cloud reconstruction of the object, wherein the step of reconstructing, by the cloud server, a 3D model of the object comprises:
• obtaining a plurality of pictures of the object;
• extracting a plurality of key points that can be correlated in said plurality of pictures of the object, wherein at least two pictures of the plurality of pictures show at least two different viewpoints of the object;
• placing the key points on the object;
• defining a plurality of 3D slices of the object, wherein a 3D slice comprises at least one key point;
• and
• adding the 3D slices to build a reconstructed 3D points cloud of the object;
• and
• performing a 3D match search in a 3D database using the 3D points cloud reconstruction, to identify the object, the 3D match search comprising comparing the 3D points cloud reconstruction of the object with 3D points clouds of known objects stored in the 3D database;
• and
• wherein the step of acquiring a plurality of pictures comprises:
• extracting said pictures from a video sequence, the method comprising dynamically adjusting the acquisition parameter depending on the 3D points cloud reconstruction, wherein pictures from the video sequence are saved every «n» frame, and wherein «n» being adjusted dynamically or by the user, in particular wherein n is given a higher value at the start of the method and decreases as the reconstruction becomes more accurate.