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- W1500565487 abstract "A new method to automatically identify a human face onto a 2D gray level image is presented. The method uses an invariant description of the face and a genetic algorithm to accomplish the task. The features used are the first four translation, rotation and scale moment invariants proposed by Hu [1]. In a first step, an image possibly containing a face is first divided into small cells of fixed size of 5 × 5 pixels. For each cell, the ordinary moments are next computed. From these, the corresponding Hu's invariants are then derived. Human face identification is thus accomplished by grouping individual cells using a genetic algorithm by fitting a specific cost function. This cost function corresponds to the invariant description of a human face given in terms of the detected image features." @default.
- W1500565487 created "2016-06-24" @default.
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- W1500565487 date "1998-01-01" @default.
- W1500565487 modified "2023-09-27" @default.
- W1500565487 title "Human Face Identification Using Invariant Descriptions and a Genetic Algorithm" @default.
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- W1500565487 doi "https://doi.org/10.1007/3-540-49795-1_26" @default.
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