ＡｐｐｌｉｃａｔｉｏｎＲｅｓｅａｒｃｈｏｆＦａｃｅＲｅｃｏｇｎｉｔｉｏｎＴｅｃｈｎｏｌｏｇｙＢａｓｅｄｏｎＯｐｅｎＣＶｉｎＩｎｔｅｌｌｉｇｅｎｔＥｘａｍｉｎａｔｉｏｎＳｙｓｔｅｍ

doi:10.3969/j.issn.1009-0479.2019.01.011

HPMug2oMmNrOfxWQHLiEksa6s0hFu9Ox348d7QefarYlaFR5ArkhOwm3Da1pmxmxCtenj1+6luWD#r#n+EPn9L6Ce+9onqnMlT+i ›› 2019, Vol. 35 ›› Issue (1): 58-64.DOI: 10.3969/j.issn.1009-0479.2019.01.011

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ＡｐｐｌｉｃａｔｉｏｎＲｅｓｅａｒｃｈｏｆＦａｃｅＲｅｃｏｇｎｉｔｉｏｎＴｅｃｈｎｏｌｏｇｙＢａｓｅｄｏｎＯｐｅｎＣＶｉｎＩｎｔｅｌｌｉｇｅｎｔＥｘａｍｉｎａｔｉｏｎＳｙｓｔｅｍ

ＺＨＯＵＳｈａｏｊｉｎｇ^ａ，ＹＩＮＧＪｉｅ^ａ，ＣＨＥＮＺｈｉｇａｎｇ^ｂ，ＰＡＮＨｏｎｇｂｉｎ^ａ

ａ．ＦａｃｕｌｔｙｏｆＣｏｍｐｕｔｅｒＩｎｆｏｒｍａｔｉｏｎ；ｂ．ＡｃａｄｅｍｉｃＡｆｆａｉｒｓＯｆｆｉｃｅ，ＫｕｎｍｉｎｇＭｅｔａｌｌｕｒｇｙＣｏｌｌｅｇｅ，Ｋｕｎｍｉｎｇ６５００３３，Ｃｈｉｎａ

Received:2018-11-12 Online:2019-02-28 Published:2019-02-28

Abstract

Abstract: Ａｔｐｒｅｓｅｎｔ，ｔｈｅｅｘａｍｉｎａｔｉｏｎｉｎｖｉｇｉｌａｔｉｏｎｏｆｔｈｅｏｎｌｉｎｅｅｘａｍｉｎａｔｉｏｎｓｙｓｔｅｍｉｓｓｔｉｌｌｄｏｍｉｎａｔｅｄｂｙｍａｎｕａｌｍａｎａｇｅｍｅｎｔ．Ｗｉｔｈｔｈｅｄｅｖｅｌｏｐｍｅｎｔｏｆａｒｔｉｆｉｃｉａｌｉｎｔｅｌｌｉｇｅｎｃｅ，ｔｈｅｄｅｍａｎｄｆｏｒｕｎｓｕｐｅｒｖｉｓｅｄｅｘａｍｉｎａｔｉｏｎｉｓｍｏｒｅｐｒｏｍｉｎｅｎｔ．Ａｎｅｗｓｙｓｔｅｍｉｓｔｈｅｒｅｂｙｄｅｓｉｇｎｅｄ，ｗｈｉｃｈｕｓｅｓｆａｃｅｒｅｃｏｇｎｉｔｉｏｎｂａｓｅｄｏｎＯｐｅｎＣＶａｓｔｈｅｃｏｒｅｔｅｃｈｎｏｌｏｇｙｔｏｂｕｉｌｄａｎｕｎｓｕｐｅｒｖｉｓｅｄｏｎｌｉｎｅｅｘａｍｓｙｓｔｅｍｔｏａｃｈｉｅｖｅｓｍａｒｔｅｘａｍｉｎｖｉｇｉｌａｔｉｏｎ．Ｔｈｅｅｘｐｅｒｉｍｅｎｔａｌｒｅｓｕｌｔｓｓｈｏｗｔｈａｔｔｈｅｓｙｓｔｅｍｃａｎｅｆｆｅｃｔｉｖｅｌｙｓｏｌｖｅｔｈｅｐｒｏｂｌｅｍｏｆｕｎｓｕｐｅｒｖｉｓｅｄａｎｄｉｎｔｅｌｌｉｇｅｎｔｅｘａｍａｕｔｈｅｎｔｉｃａｔｉｏｎ，ａｎｄｇｒｅａｔｌｙｒｅｄｕｃｅｔｈｅｍａｎｕａｌｉｎｔｅｒｖｅｎｔｉｏｎｏｆｏｎｌｉｎｅｅｘａｍｓ．

Key words: ＯｐｅｎＣＶ, ｆａｃｅｒｅｃｏｇｎｉｔｉｏｎ, ｕｎｓｕｐｅｒｖｉｓｅｄ, ｅｘａｍｓｙｓｔｅｍ

CLC Number:

ＴＰ３１１.５

ＺＨＯＵＳｈａｏｊｉｎｇ, ＹＩＮＧＪｉｅ, ＣＨＥＮＺｈｉｇａｎｇ, ＰＡＮＨｏｎｇｂｉｎ. ＡｐｐｌｉｃａｔｉｏｎＲｅｓｅａｒｃｈｏｆＦａｃｅＲｅｃｏｇｎｉｔｉｏｎＴｅｃｈｎｏｌｏｇｙＢａｓｅｄｏｎＯｐｅｎＣＶｉｎＩｎｔｅｌｌｉｇｅｎｔＥｘａｍｉｎａｔｉｏｎＳｙｓｔｅｍ[J]. HPMug2oMmNrOfxWQHLiEksa6s0hFu9Ox348d7QefarYlaFR5ArkhOwm3Da1pmxmxCtenj1+6luWD#r#n+EPn9L6Ce+9onqnMlT+i, 2019, 35(1): 58-64.

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[5]	ＲＯＮＧＨｕｉＨＵＡＮＧＨａｉ－ｒｏｎｇＷＡＮＧＸｉａｏ－ｌｉａｎｇＰＡＮＨｏｎｇ－ｂｉｎＤＵＯＹｕｎ－ｆｅｎｇ. ＯｎＶｉｓｕａｌＳｔｕｄｉｏ．ＮＥＴ－ｂａｓｅｄＯｂｊｅｃｔ－ｏｒｉｅｎｔｅｄＣＲＭＤｅｓｉｇｎａｎｄＲｅａｌｉｚａｔｉｏｎ [J]. JOURNAL OF KUNMING METALLURGY COLLEGE, 2012, 28(3): 17-22.
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ＡｐｐｌｉｃａｔｉｏｎＲｅｓｅａｒｃｈｏｆＦａｃｅＲｅｃｏｇｎｉｔｉｏｎＴｅｃｈｎｏｌｏｇｙＢａｓｅｄｏｎＯｐｅｎＣＶｉｎＩｎｔｅｌｌｉｇｅｎｔＥｘａｍｉｎａｔｉｏｎＳｙｓｔｅｍ

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