Image motion estimation from motion smear-a new computational model

摘要: Motion smear is an important visual cue for motion perception by the human vision system (HVS). However, in image analysis research, exploiting has been largely ignored. Rather, usually considered as a degradation of images that needs to be removed. In this paper, authors establish computational model estimates from information-"motion smear". many real situations, shutter sensing camera must kept open long enough produce adequate signal-to-noise ratio (SNR), resulting significant images. The present new blur and algorithm enables unique estimation motion. A prototype sensor exploits built acquire data "motion-from-smear". Experimental results on with both simulated smear, using authors' "motion-from-smear" well conventional technique, are provided. also show temporal aliasing does not affect same degree it algorithms use displacement cue. "Motion-from-smear" provides additional tool effectively complements existing techniques when apparent present.