Invention Grant
- Patent Title: Identifying non-occluded faces by learning from partially occluded faces
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Application No.: US14815108Application Date: 2015-07-31
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Publication No.: US09704025B2Publication Date: 2017-07-11
- Inventor: Fares Saleh Al-Qunaieer , Mohamed Ibrahim Alkanhal
- Applicant: King Abdulaziz City for Science and Technology
- Applicant Address: SA Riyadh
- Assignee: KING ABDULAZIZ CITY FOR SCIENCE AND TECHNOLOGY
- Current Assignee: KING ABDULAZIZ CITY FOR SCIENCE AND TECHNOLOGY
- Current Assignee Address: SA Riyadh
- Agency: Roberts Mlotkowski Safran Cole & Calderon, P.C.
- Agent Andrew M. Calderon
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/52 ; G06K9/62

Abstract:
Systems and methods of facial recognition of non-occluded or non-obstructed faces is provided. The method includes generating a skin mask based on an occluded image of an individual and removing occluded areas for the occluded image using the skin mask so that skin areas remain. The method further includes generating a correlation filter based on the occluded image. The method further includes applying the skin mask and correlation filter to a non-occluded input image of an individual. The method further includes generating a correlation output based on applying the skin mask and correlation filter to the non-occluded input image. The correlation output may indicate a likelihood that the second individual in the non-occluded input image is of the first individual in the occluded image.
Public/Granted literature
- US20170032179A1 IDENTIFYING NON-OCCLUDED FACES BY LEARNING FROM PARTIALLY OCCLUDED FACES Public/Granted day:2017-02-02
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