Representation and Recognition of the Spatial Organization of Three Dimensional Shapes.
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
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The human visual process can be studied by examining the computational problems associated with deriving useful information from retinal images. In this paper, we apply this approach to the problem of representing three- dimensional shapes for the purpose of recognition. Three criteria, accessibility, scope and uniqueness, and stability and sensitivity, are presented for judging the usefulness of a representation for shape recognition. Three aspects of a representations design are considered, use an object-centered coordinate system, include volumetric primitives of varied sizes, and have a modular organization. A representation based on a shapes natural axes for example the axes identified by a stick figure follows directly from these choices. The basic process for deriving a shape description in this representation must involve a means for identifying the natural axes of a shape in its image and a mechanism for transforming viewer-centered axis specifications in an object-centered coordinate system. Author
- Anatomy and Physiology