{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T13:34:55Z","timestamp":1648733695044},"reference-count":19,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2003,9]]},"abstract":"<jats:p> This paper presents a new method to analyze and synthesize facial expressions, in which a spatio-temporal gradient based method (i.e., optical flow) is exploited to estimate the movement of facial feature points. We proposed a method (called motion correlation) to improve the conventional block correlation method for obtaining motion vectors. The tracking of facial expressions under an active camera is addressed. With the motion vectors estimated, a facial expression can be cloned by adjusting the existing 3-D facial model, or synthesized by using different facial models. The experimental results demonstrate that the approach proposed is feasible for applications such as low bit rate video coding and face animation. <\/jats:p>","DOI":"10.1142\/s0218213003001241","type":"journal-article","created":{"date-parts":[[2003,10,16]],"date-time":"2003-10-16T00:35:19Z","timestamp":1066264519000},"page":"279-295","source":"Crossref","is-referenced-by-count":0,"title":["Active Tracking and Cloning of Facial Expressions Using  Spatio-Temporal Information"],"prefix":"10.1142","volume":"12","author":[{"given":"Lijun","family":"Yin","sequence":"first","affiliation":[{"name":"Department of Computer Science, State University of New York at Binghamton, Binghamton,  NY 13902, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anup","family":"Basu","sequence":"additional","affiliation":[{"name":"Department of Computing Science,  University of Alberta, Edmonton, Alberta, Canada T6G 2H1, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matt T.","family":"Yourst","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering  and Computer Science, Massachusetts Institute of Technology,  Cambridge, MA 02139, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","volume":"2","author":"Aizawa K.","journal-title":"Proceedings of the IEEE"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1109\/34.254061"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1109\/76.305871"},{"key":"rf4","volume-title":"Facial Action Coding System","author":"Ekman P.","year":"1977"},{"key":"rf5","volume":"9","author":"Chen H. 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