System and Method for Object Matching Using 3D Imaging

A computer implemented method for use in identifying a particular object or information about the object, by using 3D image data, the computer implemented method comprising:

• acquiring a plurality of descriptors for an object, wherein the plurality of descriptors comprises measurements in real-world scale units, geometric descriptors, and parameters of a known object;
• storing the plurality of descriptors in a database;
• creating profiles comprising the plurality of descriptors in the database;
• performing a candidate match search based on the profiles;
• filtering nonmatching profiles out of the search results;
• and
• generating a list of candidate matches based on matching profiles.

A system for use in identifying an object or information about the object, by using 3D image data, the system comprising:

• a computerized recognition system comprising a computer, a database, at least one connection port, memory, a general network, and a remote server;
• logic for aggregating and concatenating data collected about a particular object, the data comprising geometric descriptors and parameters, of a particular to create a profile of the particular object in a database, wherein the profile comprises a model of the particular object, associated identifying information, geometric descriptors, or parameters for a 3D model of the particular object;
• logic for creating profiles based on the aggregated and concatenated data collected about the object;
• a means for storing the aggregated and concatenated data and profiles in the database;
• and
• logic for the computer to search the profiles, the computer being programmed to compare the aggregated and concatenated data or profiles to query profile comprising geometric descriptors and parameters of an object that is not readily identifiable to be identified from information stored in a database within the computerized recognition system;
• and
• logic for filtering the profiles, wherein the logic for filtering the profiles comprises at least one of a global feature extraction, considering holistic query descriptors and providing a coarse classification that is compared to the profiles in the database to reduce a number of candidate database part matches, or a filter wherein local descriptors extracted from a query are hashed and used to scan a database's feature index and produce a final list of candidate database part matches, along with similarity scores used for ranking and presentation to identify the object that is not readily identifiable.