Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280497569> ?p ?o ?g. }
- W4280497569 endingPage "17" @default.
- W4280497569 startingPage "1" @default.
- W4280497569 abstract "Facial Expression Recognition is a visual cue used for conveying emotions and intentions between human beings. The micro-expressions (MEs) are not visible to the human eye, making it challenging to capture the minute changes in the facial areas as the expressions change. As a result, automating the detection of ME is a challenging task. This work utilizes Delaunay Triangulation and Voronoi Diagram properties to segment Region of Interest (ROI) based on Action Unit indexes. The ROI-based feature extraction aided in improving the performance of the Micro-Expression Recognition (MER) system. The Cross-Database Evaluation (CDE) and Holdout Database Evaluation (HDE) are performed on three publicly available datasets CASMEII, SAMM, and SMIC (HS). The proposed approach resulted in an improved Unweighted Average Recall (UAR) and Unweighted F1 (UF1) scores by 6.09% and 4.36%, respectively. The results obtained with CDE and HDE demonstrate that the proposed model is robust compared to earlier studies." @default.
- W4280497569 created "2022-05-22" @default.
- W4280497569 creator A5008134411 @default.
- W4280497569 creator A5070760842 @default.
- W4280497569 date "2022-05-18" @default.
- W4280497569 modified "2023-09-27" @default.
- W4280497569 title "Micro Expression Recognition Using Delaunay Triangulation and Voronoi Tessellation" @default.
- W4280497569 cites W1889346539 @default.
- W4280497569 cites W1975436731 @default.
- W4280497569 cites W1995265288 @default.
- W4280497569 cites W2006426145 @default.
- W4280497569 cites W2014185685 @default.
- W4280497569 cites W2021566651 @default.
- W4280497569 cites W2039051707 @default.
- W4280497569 cites W2044106642 @default.
- W4280497569 cites W2044459166 @default.
- W4280497569 cites W2054493438 @default.
- W4280497569 cites W2059068649 @default.
- W4280497569 cites W2060201548 @default.
- W4280497569 cites W2063615872 @default.
- W4280497569 cites W2093814125 @default.
- W4280497569 cites W2113022628 @default.
- W4280497569 cites W2125283600 @default.
- W4280497569 cites W2426188534 @default.
- W4280497569 cites W2478411578 @default.
- W4280497569 cites W2551403050 @default.
- W4280497569 cites W2597505717 @default.
- W4280497569 cites W2758170748 @default.
- W4280497569 cites W2787621021 @default.
- W4280497569 cites W2793245122 @default.
- W4280497569 cites W2793853260 @default.
- W4280497569 cites W2806632318 @default.
- W4280497569 cites W2808103905 @default.
- W4280497569 cites W2883486536 @default.
- W4280497569 cites W2884048435 @default.
- W4280497569 cites W2893441059 @default.
- W4280497569 cites W2902543497 @default.
- W4280497569 cites W2912483755 @default.
- W4280497569 cites W2942965748 @default.
- W4280497569 cites W2946869992 @default.
- W4280497569 cites W2953843303 @default.
- W4280497569 cites W2970851737 @default.
- W4280497569 cites W2970981431 @default.
- W4280497569 cites W2996566685 @default.
- W4280497569 cites W2997746063 @default.
- W4280497569 cites W3092753574 @default.
- W4280497569 cites W3092956019 @default.
- W4280497569 cites W3094954011 @default.
- W4280497569 cites W3124823188 @default.
- W4280497569 cites W3125930075 @default.
- W4280497569 cites W3125944047 @default.
- W4280497569 cites W3127643078 @default.
- W4280497569 cites W3173348308 @default.
- W4280497569 cites W4241597730 @default.
- W4280497569 doi "https://doi.org/10.1080/03772063.2022.2068680" @default.
- W4280497569 hasPublicationYear "2022" @default.
- W4280497569 type Work @default.
- W4280497569 citedByCount "1" @default.
- W4280497569 countsByYear W42804975692022 @default.
- W4280497569 crossrefType "journal-article" @default.
- W4280497569 hasAuthorship W4280497569A5008134411 @default.
- W4280497569 hasAuthorship W4280497569A5070760842 @default.
- W4280497569 hasConcept C11413529 @default.
- W4280497569 hasConcept C135981907 @default.
- W4280497569 hasConcept C144024400 @default.
- W4280497569 hasConcept C153180895 @default.
- W4280497569 hasConcept C154945302 @default.
- W4280497569 hasConcept C199360897 @default.
- W4280497569 hasConcept C205649164 @default.
- W4280497569 hasConcept C24881265 @default.
- W4280497569 hasConcept C2524010 @default.
- W4280497569 hasConcept C2779304628 @default.
- W4280497569 hasConcept C31972630 @default.
- W4280497569 hasConcept C33923547 @default.
- W4280497569 hasConcept C36289849 @default.
- W4280497569 hasConcept C41008148 @default.
- W4280497569 hasConcept C52622490 @default.
- W4280497569 hasConcept C58640448 @default.
- W4280497569 hasConcept C68010082 @default.
- W4280497569 hasConcept C90559484 @default.
- W4280497569 hasConceptScore W4280497569C11413529 @default.
- W4280497569 hasConceptScore W4280497569C135981907 @default.
- W4280497569 hasConceptScore W4280497569C144024400 @default.
- W4280497569 hasConceptScore W4280497569C153180895 @default.
- W4280497569 hasConceptScore W4280497569C154945302 @default.
- W4280497569 hasConceptScore W4280497569C199360897 @default.
- W4280497569 hasConceptScore W4280497569C205649164 @default.
- W4280497569 hasConceptScore W4280497569C24881265 @default.
- W4280497569 hasConceptScore W4280497569C2524010 @default.
- W4280497569 hasConceptScore W4280497569C2779304628 @default.
- W4280497569 hasConceptScore W4280497569C31972630 @default.
- W4280497569 hasConceptScore W4280497569C33923547 @default.
- W4280497569 hasConceptScore W4280497569C36289849 @default.
- W4280497569 hasConceptScore W4280497569C41008148 @default.
- W4280497569 hasConceptScore W4280497569C52622490 @default.
- W4280497569 hasConceptScore W4280497569C58640448 @default.
- W4280497569 hasConceptScore W4280497569C68010082 @default.
- W4280497569 hasConceptScore W4280497569C90559484 @default.