Monocular Facial Performance Capture Via Deep Expression Matching
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14639
Abstract: Facial performance capture is the process of automatically animating a digital face according to a captured performance of an actor. Recent developments in this area have focused on high‐quality results using expensive head‐scanning equipment and… read more here.
Keywords: expression matching; facial performance; performance capture; performance ... See more keywords
Abstract 4140236: Development and Accuracy of Natural Language Processing-based Expression Matching to Identify and Classify Cardiomyopathy from Cardiovascular Magnetic Resonance Reports
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DOI: 10.1161/circ.150.suppl_1.4140236
Abstract: Background: Cardiovascular magnetic resonance (CMR) is the gold standard non-invasive assessment of cardiomyopathy (CM); however, interpretation and CM classification from reports by clinicians and researchers at scale can be unclear and time-consuming. Research Question: Can… read more here.
Keywords: cardiovascular magnetic; natural language; magnetic resonance; language ... See more keywords
Exploring efficient grouping algorithms in regular expression matching
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DOI: 10.1371/journal.pone.0206068
Abstract: Background Regular expression matching (REM) is widely employed as the major tool for deep packet inspection (DPI) applications. For automatic processing, the regular expression patterns need to be converted to a deterministic finite automata (DFA).… read more here.
Keywords: expression matching; regular expression; expression; efficient grouping ... See more keywords