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    • 9. 发明申请
    • AUTOMATIC REDEYE DETECTION
    • 自动REDEYE检测
    • WO2009096920A1
    • 2009-08-06
    • PCT/US2008/001380
    • 2008-02-01
    • HEWLETT-PACKARD DEVELOPMENT COMPANY L.P.GAUBATZ, Matthew D.ULICHNEY, Robert Alan
    • GAUBATZ, Matthew D.ULICHNEY, Robert Alan
    • H04N1/46G06T1/00H04N1/60
    • H04N1/62G06K9/00228G06K9/00604G06T7/90G06T2207/30216H04N1/624
    • Candidate redeye areas (24) are determined in an input image (20). In this process, a respective set of one or more redeye metric values (28) is associated with each of the candidate redeye areas (24). Candidate face areas (30) are ascertained in the input image (20). In this process, a respective set of one or more face metric values (34) is associated with each of the candidate face areas (30). A respective joint metric vector (78) is assigned to each of the candidate redeye areas (24). The joint metric vector (78) includes metric values that are derived from the respective set of redeye metric values (28) and the set of face metric values (34) associated with a selected one of the candidate face areas (30). Each of one or more of the candidate redeye areas (24) is classified as either a redeye artifact or a non-redeye artifact based on the respective joint metric vector (78) assigned to the candidate redeye area (24).
    • 在输入图像(20)中确定候选红眼区域(24)。 在该过程中,相应的一组一个或多个红眼度量值(28)与候选红眼区域(24)中的每一个相关联。 在输入图像(20)中确定候选面部区域(30)。 在该过程中,一组或多个面部度量值(34)与候选面部区域(30)中的每一个相关联。 各个联合度量矢量(78)被分配给每个候选红眼区域(24)。 联合度量矢量(78)包括从相应的红眼度量值集合(28)和与候选面部区域(30)中选择的一个相关联的面部度量值(34)的集合导出的度量值。 基于分配给候选红眼区域(24)的各个联合度量矢量(78),候选红眼区域(24)中的一个或多个被分类为红眼人造物或非红眼人造物。