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Tong et al., 2022 - Google Patents

Adaptive weight based on overlapping blocks network for facial expression recognition

Tong et al., 2022

Document ID
349367607633591437
Author
Tong X
Sun S
Fu M
Publication year
Publication venue
Image and Vision Computing

External Links

Snippet

Facial expressions which contain rich behavioral information are the primary vehicle to express emotions. It is important to analyze people's emotions with computer to achieve human-computer interaction. Feature extraction is the most important factor affecting the …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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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
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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