New Three-Step Search Algorithm Improves Upon Traditional Three-Step Approach

The paper describes how the New Three-Step Search algorithm implements strategic improvements over the traditional Three-Step Search method to overcome TSS's limitations in estimating minor motions. Key implementation features include refined search step patterns that reduce the risk of missing subtle movements and an early termination mechanism that halts computation once sufficient accuracy is achieved. Additionally, the algorithm incorporates adaptive thresholding in its termination logic, where motion vectors are validated against precision criteria at each search stage. This enhancement enables more effective detection of minute object movements in practical applications, thereby increasing the algorithm's reliability and practical utility. The improved approach holds significant value for machine vision applications and provides valuable references for developing related motion estimation algorithms, particularly in implementations requiring balanced computational load and precision.