Method, apparatus and computer readable recording medium for managing a reference face database to improve face recognition performance under a restricted memory environment
First Claim
1. A method of managing a reference face database for improving performance of face recognition in a limited memory environment, the method comprising:
- acquiring a new input facial image;
determining a classification condition relevant to the input facial image with reference to classification conditions of facial images previously registered in the reference face database used for face recognition;
if the classification condition relevant to the input facial image is a specific classification condition and a facial image relevant to the specific classification condition is less sufficient than a preset threshold value in the reference face database, selecting the input facial image as an image that can be additionally registered in the reference face database; and
deleting one or more of the facial images previously registered in the reference face database when the input facial image is additionally registered in the reference face database, including;
selecting an image having the smallest number of times used for the similarity matching among the facial images previously registered in the reference face database; and
deleting the selected facial image.
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Abstract
Various embodiments of the present disclosure presents a method for managing a reference face database to improve face recognition performance under a restricted memory environment, said method comprising: acquiring a new input face image; determining a classification condition corresponding to the input face image with reference to classification conditions of existing registered face images of a reference face database used for face recognition; and if the classification condition corresponding to the input face image is a specific classification condition and the value of the face image corresponding to the specific classification condition in the reference face database is less than a preset threshold value, selecting the input face image as an image that can be additionally registered to the reference face database.
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Citations
18 Claims
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1. A method of managing a reference face database for improving performance of face recognition in a limited memory environment, the method comprising:
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acquiring a new input facial image; determining a classification condition relevant to the input facial image with reference to classification conditions of facial images previously registered in the reference face database used for face recognition; if the classification condition relevant to the input facial image is a specific classification condition and a facial image relevant to the specific classification condition is less sufficient than a preset threshold value in the reference face database, selecting the input facial image as an image that can be additionally registered in the reference face database; and deleting one or more of the facial images previously registered in the reference face database when the input facial image is additionally registered in the reference face database, including; selecting an image having the smallest number of times used for the similarity matching among the facial images previously registered in the reference face database; and deleting the selected facial image. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of managing a reference face database for improving performance of face recognition in a limited memory environment, the method comprising:
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acquiring a new input facial image; determining a classification condition relevant to the input facial image with reference to classification conditions of facial images previously registered in the reference face database used for face recognition; if the classification condition relevant to the input facial image is a specific classification condition and a facial image relevant to the specific classification condition is less sufficient than a preset threshold value in the reference face database, selecting the input facial image as an image that can be additionally registered in the reference face database; and deleting one or more of the facial images previously registered in the reference face database when the input facial image is additionally registered in the reference face database, including; calculating a variance in a class between the facial images previously registered in the reference face database by; calculating an average of face recognition matching values of the previously registered facial images other than the selected facial image; and calculating a difference between a face recognition matching value of the one selected previously registered facial image and the average of the other face recognition matching values; selecting a facial image having the smallest variance value; and deleting the selected facial image. - View Dependent Claims (9)
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10. A method of managing a reference face database for improving performance of face recognition in a limited memory environment, the method comprising:
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acquiring a new input facial image; determining a classification condition relevant to the input facial image with reference to classification conditions of facial images previously registered in the reference face database used for face recognition; if the classification condition relevant to the input facial image is a specific classification condition and a facial imam relevant to the specific, classification condition is less sufficient than a preset threshold value in the reference face database, selecting the input facial image as an image that can be additionally registered in the reference face database; and deleting one or more of the facial images previously registered in the reference face database when the input facial image is additionally registered in the reference face database, including; calculating a variance in a class between the facial images previously registered in the reference face database by; calculating an average of face recognition matching values of the facial images previously registered in the reference face database; and calculating a difference between the average of the face recognition matching values and a face recognition matching value of each of the previously registered facial image; selecting a facial image having the smallest variance value; and
deleting the selected facial image.
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11. A reference face database managing apparatus for improving performance of face recognition in a limited memory environment, the apparatus comprising:
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a reference face database configured to record a facial image used for face recognition; and an additional registration face selection unit configured to determine a classification condition relevant to a new input facial image with reference to classification conditions of facial images previously registered in the reference face database, if the input facial image is acquired, to select the input facial image as an image that can be additionally registered in the reference face database, if the classification condition relevant to the input facial image is a specific classification condition and a facial image relevant to the specific classification condition is less sufficient than a preset threshold value in the reference face database and to delete one or more of the facial images previously registered in the reference face database when the input facial image is additionally registered in the reference face database, including selecting an image having the smallest number of times used for the similarity matching among the facial images previously registered in the reference face database and deleting the selected facial image. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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Specification