3-D object recognition is a difficult cognitive task because the view of a 3-D object is infinitely varied by the viewing conditions. In recent years, studies have identified two processes for recognizing 3-D objects. In this study, we examined the two processes in a psychophysical experiment using computer-generated 3-D objects. Reaction time analysis showed that the reaction time data distribution could be fitted by the linear combination of two Weibull distributions. This suggested the presence of two processes in object recognition. Furthermore, we found that the temporal profile of one of the distributions was dependent on the distance from the internal representation of the objects, and the other was not. These results suggested that the two processes correspond to the matching using 3-D structural information, and 2-D image matching.