Probabilistic feature matching in images
AssigneeInternational Business Machines Corporation
InventorsMattia RIGOTTI, Thomas FRICK, Cezary Jerzy SKURA, Andrea BARTEZZAGHI, Filip Michal JANICKI, Adelmo Cristiano Innocenza MALOSSI
Life of this patent
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Abstract
In some implementations, a computing device may receive one or more reference images respectively having an indication of a reference object of interest within the one or more reference images. The computing device may generate a probability map associated with a target image based at least in part on matching scores that are associated with the reference object. The computing device may identify an object of interest within the target image based at least in part on the probability map.
Claims20
A method comprising:
- receiving one or more reference images respectively having an indication of a reference object of interest within the one or more reference images;
- generating a probability map associated with a target image based at least in part on matching scores that are associated with the reference object;
- and
- identifying an object of interest within the target image based at least in part on the probability map.
A computer program product comprising:
- one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
- program instructions to receive an indication of a reference object of interest within one or more reference images;
- program instructions to generate a probability map associated with a target image based at least in part on matching scores that are associated with the reference object;
- and
- program instructions to identify an object of interest within the target image based at least in part on the probability map.
A system comprising:
- one or more devices configured to:
- receive user input that indicates a reference object of interest within one or more reference images;
- generate a probability map associated with a target image based at least in part on matching scores that are associated with the reference object;
- and
- identify an object of interest within the target image based at least in part on the probability map.
Dependencies are inferred from the claim text.