articleTop 1% cited
Active appearance models
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2001 · Vol. 23(6) · pp. 681–685
Abstract
We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations in the model parameters and the induced image errors.
Face recognition and analysisHuman Pose and Action RecognitionImage Retrieval and Classification TechniquesArtificial intelligenceComputer scienceComputer visionPattern recognition (psychology)
Funding
- Engineering and Physical Sciences Research Council
Citations
5,440
FWCI
81.58
field-weighted impact
References
29
Percentile
100%
vs. same field & year
Citations per year
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References
Distortion invariant object recognition in the dynamic link architecture
IEEE Transactions on Computers · 1993 · 1,811 citations
Eigenfaces for Recognition
Journal of Cognitive Neuroscience · 1991 · 13,711 citations
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