Active Appearance Models (AAM); a group of highly flexible deformable models introduced in the 1998 paper "Interpreting Face Images using Active Appearance Models" by Edwards, Taylor and Cootes of Manchester University. Refer the homepage of Tim Coo
The traditional approach in texture synthesis is to compare color neighborhoods with those of an exemplar. We show that quality is greatly improved if pointwise colors are replaced by appearance vectors that incorporate nonlocal information such as
A new type of color-appearance model is presented together with its formulations. It is named In- CAM(CIELUV), which means the integrated colorappearance model using CIELUV space. Using the In- CAM(CIELUV), we can integrate its fields of application
The AAM-API is a free, open-source, C++ implementation of the Active Appearance Models (AAM) framework targeted for education, further AAM research and for pure analysis and segmentation purposes.
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.