Recognizing partially visible objects

In two experiments we measured object recognition performance as a function of delay. In Experiment 1 we presented half of an image of an object, and then the other half after a variable delay. Objects were subdivided into top versus bottom halves, left versus right halves, or vertical strips. In Experiment 2 we separated the low (LSF) and high spatial frequency (HSF) components of an image, and presented one component followed by the other after a variable delay. For both experiments, performance was worse with a 105ms delay between the presentations of the object components than when the two components were presented simultaneously. These results are consistent with predictions made by models that combine information at a relatively early stage in processing. In addition, the results revealed that object recognition performance is significantly better when the LSF sub-image preceded the HSF sub-image than when the HSF sub-image preceded the LSF sub-image, consistent with previous work suggesting that LSF information is processed prior to HSF in object recognition.