A study on resolution and aliasing for multi-viewpoint image acquisition

We equate multi-viewpoint image acquisition with object sampling from different viewpoints, and calculate the resolution of multi-viewpoint camera systems. Aliasing, which occurs with the sampling, leads to depth shifting of objects. For instance, an image of a distant object may be taken as if it were near when aliasing occurs. A condition of the camera pitch free from aliasing is discussed. An appropriate prefilter for the sampling can eliminate alias-causing spatial-frequency components, even when the camera pitch is large. We analyze the characteristics of the prefilters from the aspects of depth shifting, ghosting, and waveform distortion. The experimental results show that a prefilter, which reduces ghosting, can be realized optically. For precise acquisition of multi-viewpoint images, however, a prefilter with electrical processing is needed