Human Image Understanding
Final rept. 1 Jun 1988-1 Jan 1992,
MINNESOTA UNIV MINNEAPOLIS DEPT OF PSYCHOLOGY
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This report summarizes the major research accomplishments performed under AFOSR Grant 88-0231, HUMAN IMAGE UNDERSTANDING. An extensive services of experiments assessing the visual priming of briefly presented images indicate that the visual representation that mediates real time object recognition specifies neither the image edges or vertices nor an overall model of the object but an arrangement of simple volumes or geons corresponding to the objects parts. This representation can be activated with no loss in efficiency when the image is projected onto the retina at another position, size, or orientation in depth from when originally viewed. Consideration of these invariances suggests a computational basis for the evolution of two extrastriate visual systems, one for recognition and the other subserving motor interaction. It may be possible to assess the functioning of these systems behaviorally, that is, to split the cortex horizontally, through a comparison of performance on naming and episodic memory tasks. We have developed a neural network model Hummel and Biederman, 1992 that captures the essential characteristics of human object recognition performance.