Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226524189> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4226524189 endingPage "71" @default.
- W4226524189 startingPage "52" @default.
- W4226524189 abstract "For the past decade, performance-driven animation has been a reality in games and movies. While capturing and transferring emotions from human beings to avatars is a reasonably solved problem, it is accepted that humans express themselves in different ways, with personal styles, even when performing the same action. This article proposes a method to extract the style of human beings' facial movement when expressing emotions in posed images. We hypothesize that personal facial styles may be detected by clustering methods based on the similarity of individuals' facial expressions. We use the K-Means and Gaussian mixture model clustering methods to group emotion styles. In addition, extracted styles are considered to generate facial expressions in virtual humans and are tested with users. After an evaluation using both quantitative and qualitative criteria, our results indicate that facial expression styles do exist and can be grouped using quantitative computational methods." @default.
- W4226524189 created "2022-05-05" @default.
- W4226524189 creator A5040935586 @default.
- W4226524189 creator A5059434669 @default.
- W4226524189 creator A5081507441 @default.
- W4226524189 date "2022-07-01" @default.
- W4226524189 modified "2023-09-23" @default.
- W4226524189 title "Investigating Emotion Style in Human Faces Using Clustering Methods" @default.
- W4226524189 cites W1966797434 @default.
- W4226524189 cites W1987971958 @default.
- W4226524189 cites W2066436980 @default.
- W4226524189 cites W2107114452 @default.
- W4226524189 cites W2110068575 @default.
- W4226524189 cites W2134331998 @default.
- W4226524189 cites W2139011275 @default.
- W4226524189 cites W2140405352 @default.
- W4226524189 cites W2168013334 @default.
- W4226524189 cites W2168175751 @default.
- W4226524189 cites W2170381549 @default.
- W4226524189 cites W2181465509 @default.
- W4226524189 cites W3136489197 @default.
- W4226524189 cites W4299345493 @default.
- W4226524189 doi "https://doi.org/10.1109/mcg.2021.3125904" @default.
- W4226524189 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34752390" @default.
- W4226524189 hasPublicationYear "2022" @default.
- W4226524189 type Work @default.
- W4226524189 citedByCount "0" @default.
- W4226524189 crossrefType "journal-article" @default.
- W4226524189 hasAuthorship W4226524189A5040935586 @default.
- W4226524189 hasAuthorship W4226524189A5059434669 @default.
- W4226524189 hasAuthorship W4226524189A5081507441 @default.
- W4226524189 hasConcept C103278499 @default.
- W4226524189 hasConcept C107457646 @default.
- W4226524189 hasConcept C115961682 @default.
- W4226524189 hasConcept C121684516 @default.
- W4226524189 hasConcept C138591656 @default.
- W4226524189 hasConcept C153180895 @default.
- W4226524189 hasConcept C154945302 @default.
- W4226524189 hasConcept C166957645 @default.
- W4226524189 hasConcept C195704467 @default.
- W4226524189 hasConcept C199360897 @default.
- W4226524189 hasConcept C2776445246 @default.
- W4226524189 hasConcept C31972630 @default.
- W4226524189 hasConcept C41008148 @default.
- W4226524189 hasConcept C502989409 @default.
- W4226524189 hasConcept C61224824 @default.
- W4226524189 hasConcept C69369342 @default.
- W4226524189 hasConcept C73555534 @default.
- W4226524189 hasConcept C90559484 @default.
- W4226524189 hasConcept C95457728 @default.
- W4226524189 hasConceptScore W4226524189C103278499 @default.
- W4226524189 hasConceptScore W4226524189C107457646 @default.
- W4226524189 hasConceptScore W4226524189C115961682 @default.
- W4226524189 hasConceptScore W4226524189C121684516 @default.
- W4226524189 hasConceptScore W4226524189C138591656 @default.
- W4226524189 hasConceptScore W4226524189C153180895 @default.
- W4226524189 hasConceptScore W4226524189C154945302 @default.
- W4226524189 hasConceptScore W4226524189C166957645 @default.
- W4226524189 hasConceptScore W4226524189C195704467 @default.
- W4226524189 hasConceptScore W4226524189C199360897 @default.
- W4226524189 hasConceptScore W4226524189C2776445246 @default.
- W4226524189 hasConceptScore W4226524189C31972630 @default.
- W4226524189 hasConceptScore W4226524189C41008148 @default.
- W4226524189 hasConceptScore W4226524189C502989409 @default.
- W4226524189 hasConceptScore W4226524189C61224824 @default.
- W4226524189 hasConceptScore W4226524189C69369342 @default.
- W4226524189 hasConceptScore W4226524189C73555534 @default.
- W4226524189 hasConceptScore W4226524189C90559484 @default.
- W4226524189 hasConceptScore W4226524189C95457728 @default.
- W4226524189 hasFunder F4320321091 @default.
- W4226524189 hasIssue "4" @default.
- W4226524189 hasLocation W42265241891 @default.
- W4226524189 hasLocation W42265241892 @default.
- W4226524189 hasOpenAccess W4226524189 @default.
- W4226524189 hasPrimaryLocation W42265241891 @default.
- W4226524189 hasRelatedWork W1569740590 @default.
- W4226524189 hasRelatedWork W2041694917 @default.
- W4226524189 hasRelatedWork W2279658700 @default.
- W4226524189 hasRelatedWork W2348807325 @default.
- W4226524189 hasRelatedWork W2354911303 @default.
- W4226524189 hasRelatedWork W2355747696 @default.
- W4226524189 hasRelatedWork W2362802404 @default.
- W4226524189 hasRelatedWork W2393990500 @default.
- W4226524189 hasRelatedWork W2098057251 @default.
- W4226524189 hasRelatedWork W3122491661 @default.
- W4226524189 hasVolume "42" @default.
- W4226524189 isParatext "false" @default.
- W4226524189 isRetracted "false" @default.
- W4226524189 workType "article" @default.