We investigated how varying the number of unique parts within an objec
t influences recognition across changes in viewpoint. The stimuli were
shaded objects composed of five three-dimensional volumes linked end
to end with varying connection angles. Of the five volumes, zero, one,
three, or five were qualitatively distinct (e.g,, brick vs. cone), th
e rest being tubes. Sequential-matching and naming tasks were used to
assess the recognition of these stimuli over rotations in depth. Three
,major results stand out. First, regardless of the number of distinct
parts, there was increasingly poorer recognition performance with incr
easing change iii viewpoint. Second, the impact of viewpoint change fo
r objects with one unique part was less than that for the other object
s. Third, additional parts beyond a single unique parr produced strong
viewpoint dependency comparable to that obtained for objects with no
distinct parts. Thus, visual recognition may be explained by a view-ba
sed theory in which viewpoint-specific representations encode both qua
ntitative and qualitative features.