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Zhang et al., 2018 - Google Patents

Face frontalization using an appearance-flow-based convolutional neural network

Zhang et al., 2018

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Document ID
6227296470209402199
Author
Zhang Z
Chen X
Wang B
Hu G
Zuo W
Hancock E
Publication year
Publication venue
IEEE Transactions on Image Processing

External Links

Snippet

Facial pose variation is one of the major factors making face recognition (FR) a challenging task. One popular solution is to convert non-frontal faces to frontal ones on which FR is performed. Rotating faces causes facial pixel value changes. Therefore, existing CNN …
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Classifications

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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
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    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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