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- W301793040 abstract "In his work, we use a broad set of pixel features of low computational cost—which includes first order gray-level parameters, second order textural features, moment invariant features, multi-scale features, and frequency domain features—for pixel classification based on facial feature localization. A Radial Basis Function Neural Network performs the classification into three regions of interest. Morphological filters and intrinsic geometric properties of the human face are combined into a post-processing heuristic to finish the feature localization. We present the results, which are qualitative and quantitative satisfactory." @default.
- W301793040 created "2016-06-24" @default.
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- W301793040 date "2014-01-01" @default.
- W301793040 modified "2023-09-27" @default.
- W301793040 title "Pixel Classification and Heuristics for Facial Feature Localization" @default.
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- W301793040 doi "https://doi.org/10.1007/978-3-319-10840-7_21" @default.
- W301793040 hasPublicationYear "2014" @default.
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