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Tracking facial feature points with Gabor wavelets and shape models

https://doi.org/10.1007/bfb0015977
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-61510-5_57openalex-snapshot
Tracking and learning graphs on image sequences of faces
inferredcites →https://doi.org/10.1007/978-1-4471-3201-1_2openalex-snapshot
Training Models of Shape from Sets of Examples
inferredcites →https://doi.org/10.1007/978-1-4615-3648-2openalex-snapshot
Measurement of Image Velocity
inferredcites →https://doi.org/10.1016/s0262-8856(97)00012-7openalex-snapshot
Determination of face position and pose with a learned representation based on labelled graphs
inferredcites →https://doi.org/10.1109/12.210173openalex-snapshot
Distortion invariant object recognition in the dynamic link architecture
inferredcites →https://doi.org/10.1109/34.598234openalex-snapshot
Object recognition robust under translations, deformations, and changes in background
inferredcites →https://doi.org/10.1109/afgr.1996.557261openalex-snapshot
Tracking and learning graphs and pose on image sequences of faces
inferredcites →https://doi.org/10.1109/cvpr.1996.517079openalex-snapshot
The integration of optical flow and deformable models with applications to human face shape and motion estimation
inferredcites →https://doi.org/10.1109/mnrao.1994.346236openalex-snapshot
An efficient method for contour tracking using active shape models
inferredcites →https://doi.org/10.5244/c.10.27openalex-snapshot
Estimation of Face Position and Pose with Labeled Graphs
inferredcites →https://doi.org/10.5244/c.6.2openalex-snapshot
Training Models of Shape from Sets of Examples
inferredcites →https://doi.org/10.5244/c.8.39openalex-snapshot
A Non-linear Generalisation of PDMs using Polynomial Regression
inferredcites →https://doi.org/10.5244/c.9.11openalex-snapshot
Non-Linear Point Distribution Modelling using a Multi-Layer Perceptron.
inferredcites →https://doi.org/10.5244/c.9.41openalex-snapshot
Generating Spatiotemporal Models from Examples.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Real-time face pose estimation
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Object recognition robust under translations, deformations, and changes in background
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Face model adaptation using robust matching and active appearance models
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