lucas kanade method 中文意思是什麼
lucas kanade method
解釋
盧卡斯卡納德方法-
In the coarse step, an improved klt ( kanade - lucas - tomasi ) algorithm is applied in feature extraction, and a new acceleratingalgorithm of template matching is presented to match features, and also a feasible feature validitytesting method is given. in the precise step, the “ regional counting method based onjoint - histogram ” is used for reference to make out its own improved method, which achieves “ sub - pixel ” precision as well as avoids heavy floating - point operation by clever definition ofcriterion function
粗配準過程中，利用klt （ kanade - lucas - tomasi ）的改進演算法進行特徵提取，提出一種新的模板匹配加速演算法進行特徵匹配，還給出了切實可行的特徵有效性檢驗方法;精配準過程中，借鑒「聯合直方圖區域計數法」的思想，提出具體的改進方案，通過巧妙定義準則函數使得演算法在避開大量浮點運算的同時達到了亞像素級精度。
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