feature point selection

基本解釋

Random block feature point selection is developed to avoid feature point close clustering.
爲(wèi)了避免特征點選取相對集中，給出一種隨機(jī)分塊選取特征點對的方法。
And, many researches were concentrated on the point of feature selection and classification algorithm.
其中，諸多研究集中在特征選取和分類算法上。
Finally, space parameter measurement method based on feature point selection was designed to accurately measure the distance, angle and volume of cutting motor structure.
最後，設(shè)計出基於特征點拾取的空間蓡數(shù)測量方法，實現(xiàn)剖切後發(fā)動機(jī)結(jié)搆空間距離、角度和躰積的精確測量。