Kiaei et al., 2019 - Google Patents
Human face detection based on skin color with principal component analysis (PCA) algorithmKiaei et al., 2019
- Document ID
- 10567854010461590714
- Author
- Kiaei D
- Tavakoli S
- Publication year
- Publication venue
- 2019 International Conference on Image and Video Processing, and Artificial Intelligence
External Links
Snippet
Identifying and identifying a person's face is one of the challenging issues in computer applications. The main part is the facial recognition of the whole image. Problems include sensitivity to the exposure conditions of the input image. Here is a way to detect human …
- 238000001514 detection method 0 title abstract description 36
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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- G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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