@CONFERENCE\{IMM2007-05441,
    author       = "A. B. Dahl and H. Aan{\ae}s and R. Larsen and B. K. Ersb{\o}ll",
    title        = "Classification of Biological Objects using Active Appearance Modelling and Color Cooccurrence Matrices",
    year         = "2007",
    month        = "jun",
    keywords     = "Classification, Active Appearance Models, {AAM,} Cooccurrence Matrices",
    pages        = "938-947",
    booktitle    = "{SCIA} 2007",
    volume       = "15",
    series       = "Lecture Notes in Computer Science",
    editor       = "Bjarne Kj{\ae}r Ersb{\o}ll, Kim Steenstrup Pedersen, Eds.",
    publisher    = "Springer",
    organization = "",
    address      = "",
    url          = "http://springer.com",
    abstract     = "We use the popular active appearance models
(AAM) for extracting discriminative features from images of
biological objects. The relevant discriminative features are
combined principal component (PCA) vectors from the {AAM} and
texture features from cooccurrence matrices. Texture features are
extracted by extending the {AAM'}s with a textural warp guided by
the {AAM} shape. Based on this, texture cooccurrence features are
calculated. We use the different features for classifying the
biological objects to species using standard classifiers, and we
show that even though the objects are highly variant, the {AAM'}s
are well suited for extracting relevant features, thus obtaining
good classification results. Classification is conducted on two
real data sets, one containing various vegetables and one
containing different species of wood logs.",
    isbn_issn    = "0302-9743"
}