2011
DOI: 10.1016/j.imavis.2010.12.001
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A graphical model based solution to the facial feature point tracking problem

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Cited by 10 publications
(7 citation statements)
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References 24 publications
(42 reference statements)
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“…Since the ratio of distance between co-linear points is fixed under affine transformations, line segments between facial points are also used to model the face shape such as [36]. Liang et al [37] use a condensation algorithm modified with spatial constraints.…”
Section: B Facial Point Detectionmentioning
confidence: 99%
“…Since the ratio of distance between co-linear points is fixed under affine transformations, line segments between facial points are also used to model the face shape such as [36]. Liang et al [37] use a condensation algorithm modified with spatial constraints.…”
Section: B Facial Point Detectionmentioning
confidence: 99%
“…For example, Cosar and Cetin [4] use the fact that the ratio of distances between co-linear points is fixed under affine transformations to restrict the inter-frame change in facial point tracking. Liang et al [21] use a condensation algorithm modified with spatial constraints.…”
Section: Related Workmentioning
confidence: 99%
“…There are two methods, feature-based method and optical-flow method, which are used in solving these problems. Feature-based method [5][6][7] requires the relationship between a set of features extracted from one image and those extracted from the next image. There have been various features, including points, lines, planes, conics and combinations of these features.…”
Section: Introductionmentioning
confidence: 99%
“…The perspective projection of a circle in arbitrary orientations is always an ellipse. 5. It has been shown that circular feature has the property of high location accuracy.…”
Section: Introductionmentioning
confidence: 99%