Object Recognition: Attention and Dual Routes
The human capacity for visual object recognition is characterized by a number of properties that are jointly very challenging to explain. Recognition performance is highly sensitive to variations in viewpoint such as rotations in the picture plane (e.g., Murray 1995, 1998; Jolicoeur 1985) and to some rotations in depth (e.g., Hayward 1998; Lawson and Humphreys 1996, 1998) but invariant with the location of the image in the visual field (Biederman and Cooper 1991; Stankiewicz and Hummel 2002), the size of the image (Biederman and Cooper 1992; Stankiewicz and Hummel 2002), left-right (i.e., mirror) reflection (Biederman and Cooper 1991; Davidoff and Warrington 2001), and some rotations in depth (Biederman and Gerhardstein 1993). Second, object recognition is remarkably robust to variations in shape (Davidoff and Warrington 1999; Hummel 2001). For example, people spontaneously name the picture of a Collie or a Pomeranian both as simply a “dog” — a phenomenon termed “basic level” categorisation (Rosch et al. 1976).
KeywordsObject Recognition Hybrid Model Picture Plane Prime Display Holistic Representation
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