Development of Shape Primitives from Images of Composite Objects Represented by Complex Cells
نویسندگان
چکیده
Visual primitives have long been proposed, under the name of geons or generalized cylinders, as components for object models in the brain and in the computer. Geons constitute a structural level intermediate between features and whole objects, and can form a basis for powerful generalization between different view points. We here present a system for the extraction of geon models from images of composite objects. We use synthetic gray-level images, each composed of several shape primitives. Our system finds geons as partial matches between several images. Images and models are represented as arrays of complex cells of Gabor type.
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