paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification - Barbosa, Jocelyn; Seo, Woo-Keun; Kang, Jaewoo (BMC medical imaging, 2019)
Keywords: Algorithms; Analysis; Asymmetry; Boundaries; Classification; Classifiers; Computer science; Data mining; Ensemble of regression trees; Evaluation; Face; Face recognition; Facial paralysis; Facial Paralysis - classification; Facial Paralysis - psychology; Facial paralysis evaluation framework; Facial paralysis objective evaluation; Feature extraction; Human motion; Humans; Image Interpretation, Computer-Assisted - methods; Image processing; Image segmentation; International conferences; Introversion, Psychological; Iris detection; Medical treatment; Methods; Muscles; Novels; Paralysis; Polynomials; Regression Analysis; Salient point detection; Sensitivity and Specificity; Social aspects; Social factors; Social interactions; Stress (Psychology); Technical Advance; New York; United States--US; Facial paralysis classification; Facial paralysis evaluation framework; Salient point detection; Facial paralysis objective evaluation; Ensemble of regression trees; Iris detection