# Recognition-by-Components **Opening (not a real abstract):** Recognition-by-Components: A Theory of Human Image Understanding Irving Biederman State University of New York at Buffalo The perceptual recognition of objects is conceptualized to be a process in which the image of the input is segmented at regions of deep concavity into an arrangement of simple geometric components, such as blocks, cylinders, wedges, and cones. The fundamental assumption of the proposed theory, recognition-by-components (RBC), is that a modest set of generalized-cone components, railed genus < 36), can be derived from contrasts of five readily detectable properties of edges in a two-dimensional image: curvature, colline.arity, symmetry, parallelism, and cotermination. The detection of these properties is generally invariant over viewing position and image quality and consequently allows robust object perception when the image is projected from a novel viewpoint or is **Authors:** [[Biederman]]