A stereo advantage in generalizing over changes in viewpoint on object recognition tasks

In four experiments, we examined whether generalization to unfamiliar views was better under stereo viewing or under nonstereo viewing across different tasks and stimuli. In the first three experiments, we used a sequential matching task in which observers matched the identities of shaded tube-like objects. Across Experiments 1–3, we manipulated the presentation method of the nonstereo stimuli (having observers wear an eye patch vs. showing observers the same screen image) and the magnitude of the viewpoint change (30° vs. 38°). In Experiment 4, observers identified “easy” and “hard” rotating wire-frame objects at the individual level under stereo and nonstereo viewing conditions. We found a stereo advantage for generalizing to unfamiliar views in all the experiments. However, in these experiments, performance remained view dependent even under stereo viewing. These results strongly argue against strictly 2-D image-based models of object recognition, at least for the stimuli and recognition tasks used, and suggest that observers used representations that contained view-specific local depth information.