@article {IOPORT.05110978,
    author       = {Siddiqi, Kaleem and Kimia, Benjamin B.},
    title        = {Parts of Visual Form: Computational Aspects.},
    year         = {1995},
    journal      = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    volume       = {17},
    number       = {03},
    issn         = {0162-8828},
    pages        = {239-251},
    publisher    = {Institute of Electrical and Electronics Engineers (IEEE), Washington, DC},
    doi          = {10.1109/34.368189},
    abstract     = {Summary: Abstract --- Underlying recognition is an organization of objects and their parts into classes and hierarchies. A representation of parts for recognition requires that they be invariant to rigid transformations, robust in the presence of occlusions, stable with changes in viewing geometry, and be arranged in a hierarchy. These constraints are captured in a general framework using notions of a PART-LINE and a PARTITIONING SCHEME. A proposed general principle of ``form from function'' motivates a particular partitioning scheme involving two types of parts, NECK-BASED and LIMB-BASED, whose psychophysical relevance was demonstrated in [39]. Neck-based parts arise from narrowings in shape, or the local minima in distance between two points on the boundary, while limb-based parts arise from a pair of negative curvature minima which have ``co-circular'' tangents. In this paper, we present computational support for the limb-based and neck-based parts by showing that they are invariant, robust, stable and yield a hierarchy of parts. Examples illustrate that the resulting decompositions are robust in the presence of occlusion and clutter for a range of man-made and natural objects, and lead to natural and intuitive parts which can be used for recognition.},
    identifier   = {05110978},
}