Invention Grant
- Patent Title: Deep learning tattoo match system based
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Application No.: US17188194Application Date: 2021-03-01
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Publication No.: US11783587B2Publication Date: 2023-10-10
- Inventor: Yi Yang , Biplob Debnath , Giuseppe Coviello , Oliver Po , Srimat Chakradhar , Yang Gao
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G06V20/52
- IPC: G06V20/52 ; G06N3/08 ; G06V20/40 ; G06F18/211 ; G06F18/214

Abstract:
A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.
Public/Granted literature
- US20210279471A1 DEEP LEARNING TATTOO MATCH SYSTEM BASED Public/Granted day:2021-09-09
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