Facial expression recognition with PCA and LBP features extracting from active facial patches

Research article (2016 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2016) · cited 34× · AI/ML
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Facial expression recognition with PCA and LBP features extracting from active facial patches

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Facial expression recognition with PCA and LBP features extracting from active facial patches is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Facial expression recognition with PCA and LBP features extracting from active facial patches. Retrieved May 24, 2026, from https://4ort.xyz/entity/facial-expression-recognition-with-pca-and-lbp-features-extracting-from-active-facial-patches
MLA “Facial expression recognition with PCA and LBP features extracting from active facial patches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/facial-expression-recognition-with-pca-and-lbp-features-extracting-from-active-facial-patches.
BibTeX @misc{4ortxyz_facial-expression-recognition-with-pca-and-lbp-features-extracting-from-active-facial-patches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Facial expression recognition with PCA and LBP features extracting from active facial patches}}, year = {2026}, url = {https://4ort.xyz/entity/facial-expression-recognition-with-pca-and-lbp-features-extracting-from-active-facial-patches}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Facial expression recognition with PCA and LBP features extracting from active facial patches — https://4ort.xyz/entity/facial-expression-recognition-with-pca-and-lbp-features-extracting-from-active-facial-patches (retrieved 2026-05-24)

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