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In Biederman's Recognition-by- components theory, the objet recognition process involves an internal componential and structural description. Components corresponding to geometrical non-accidental properties of objects represent visual primitives. In a first experiment, ten drawn objects were presented. Object contours were deleted at vertex or mid segments but we applied an algorithm to equalize the information quantity presented for two of the three conditions. Results indicate that the identification rate was partially predicted by the amount of information calculated by energy and three dimensional functions. In a second experiment, symmetrical objects were presented with half of the contour or with the top part of the contour only. The amount of information was also equalized between the two conditions. The results contradict the idea of an economical object internal representation avoiding redundancy and automatic duplication of symmetry along the vertical axis. In the discussion, we propose to explain these results by spatial frequency time integration, the closure process and the three-dimensionality of the presented junctions.
