![]() Resolution images and videos has been widespread in the modern society. Triangulation-based approach, meanwhile the accuracy of the registration is Experimental results suggest that theĬomputational time of the registration is significantly reduced using our Then, the computation of the registration can be simplified with More specifically, given a high resolution image or video frame, weĬompute an optimal coarse triangulation which captures the important features TRIM to accelerate the computations of the registration by triangulating the In this work, we propose a novel approach called This hinders the applications of the registration approaches in However, the conventional registrationĪpproaches usually require long computational time for high quality images and Particular, image and video frame registration is frequently applied inĬomputer graphics and film production. Well retained when compared with the conventional grid-based approach. One possible way to accelerate the computation of the registration is to introduce a much coarser grid on the images or video frames. Then, the registration can be done on the coarse grid instead of the high resolution images or video frames. Finally, the fine details can be added back to the coarse registration. ![]() It is noteworthy that the quality of the coarse grid strongly affects the quality of the final registration result. If the coarse grid cannot capture the important features of the images or video frames, the final registration result is likely to be unsatisfactory.
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