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<p>Primal access recognition of visual objects (PARVO), a computer vision system that addresses the problem of fast and generic recognition of unexpected 3D objects from single 2D views, is considered. Recently, recognition by components (RBC), which is a new human image understanding theory, based on some psychological results, has been proposed as an explanation of how PARVO works. However, no systematic computational evaluation of its many aspects has yet been reported. The PARVO system discussed is a first step toward this goal, since its design respects and makes explicit the main assumptions of the proposed theory. It analyzes single-view 2D line drawings of 3D objects typical of the ones used in human image understanding studies. It is designed to handle partially occluded objects of different shape and dimension in various spatial orientations and locations in the image plane. The system is shown to successfully compute generic descriptions and then recognize many common man-made objects.</p>
recognition by components; generic object recognition; image recognition; primal access recognition of visual objects; PARVO; computer vision; human image understanding; 2D line drawings; spatial orientations; artificial intelligence; computer vision; image recognition

M. Levine and R. Bergevin, "Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 19-36, 1993.
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