One of the most impressive achievements of our visual system is its ability to abstract away from task-irrelevant variation in the input in order to identify and categorize objects. Our object recognition system is usually both fast and accurate at recognizing shapes across changes of retinal size, viewpoint, and illumination (see Lawson, 1999, for a review). This achievement of object constancy often, though, comes at a measurable cost in terms of the speed or the accuracy of processing. For example, if a familiar object is first seen at one view in depth and is subsequently shown at a different view, its identification in the second view is usually less efficient (so that priming is reduced), relative to when the second view of an object is identical or similar to the first (see, e.g., Hayward, 1998;Lawson & Humphreys, 1996, 1998, 1999Lawson, Humphreys, & Watson, 1994;Srinivas, 1995;Thoma & Davidoff, 2006;Vuilleumier, Henson, Driver, & Dolan, 2002; see also Fang & He, 2005, for similar results with an adaptation paradigm).There is still no consensus as to the theoretical interpretation of these empirical findings of view-sensitive (and sometimes view-invariant) performance. However, the simplistic characterization of this debate as being between those arguing that object recognition is subserved only by 2-D representations finely tuned to viewpoint in depth and others proposing fully view-invariant 3-D representations of objects has gradually evolved to cover a range of more complex and nuanced intermediate positions (see, e.g., Biederman, 1987;Biederman & Gerhardstein, 1993Bülthoff & Edelman, 1992;Burgund & Marsolek, 2000;Demeyer, Zaenen, & Wagemans, 2007;Foster & Gilson, 2002;Hayward, 2003;Hayward & Tarr, 1997;Hummel, 2001;Hummel & Stankiewicz, 1998;Marr, 1982;Tarr, 1995; Tarr & Bülthoff, 1995, 1998Tarr & Pinker, 1990;Thoma, Hummel, & Davidoff, 2004;Tjan & Legge, 1998;Vanrie, Willems, & Wagemans, 2001;Vuilleumier et al., 2002;Wilson & Farah, 2006).One important obstacle to progress in understanding how the visual system achieves object constancy is the fact that the factors critical to determining the level of view sensitivity in a given situation still remain unclear. Many factors are likely to play a significant role. These include the class and structure of the stimuli to be identified (cf. the geometries of faces, animals, artifacts, and the twisted wire or block stimuli often used in studies of novel-object recognition); familiarity (both whether people have experience with the stimuli prior to testing and on the number of presentations of a given object within a study); task (performance may differ between initial recognition and short-or long-term priming, as well as across different tasks, such as picture-picture matching and naming); the difficulty of discriminating between objects (usually harder for face and subordinate-level object recognition and when many similarly shaped objects must be distinguished, relative to most instances of basiclevel object recognition); and stimulus presentation (e.g...