選別器復示器 的英文怎麼說
中文拼音 [xuǎnbiéqìfùshìqì]
選別器復示器
英文
slot repeater- 選 : Ⅰ動詞1. (挑選) select; choose; pick 2. (選舉) elect Ⅱ名詞(挑選出來編在一起的作品) selections; anthology
- 別 : 別動詞[方言] (改變) change (sb. 's opinion)
- 器 : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
- 復 : Ⅰ形容詞1 (重復) repeated; double; duplicate 2 (繁復) complex; compound Ⅱ動詞1 (轉過去或轉過...
- 示 : Ⅰ動詞(擺出或指出使人知道; 表明) show; indicate; signify; instruct; notify Ⅱ名詞1 [書面語] (給...
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The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design
首先研究了在人臉檢測和識別中常用的分類器,比如符號函數、最近鄰、神經網路、 svm 、 adaboost等,選擇了適合於人臉檢測和識別的分類器,並提出了結合pca特徵和rbf進行人臉姿態的判別方法:其次研究了具有特徵選擇功能的分類器發計,這為人臉的級聯表示提供了條什,也為快速準確的人臉檢測和識別提供了可能;最後,對組合分類器設計進行了研究,提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案,這使得人臉檢測和識別能夠快速剔除不感興趣區域,為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。Cascade representation is adopted to represent face rapidly to improve the fast face representation from coarse to fine, from simple to complex, and to improve the speed and accuracy of the processing. subsequently, designs of the classifiers are described in three aspects. first of all, some common classifiers are firstly discussed such as sf ( sign function ), nn ( nearest neighbour ), adaboost, svm ( support vector machine ), ann ( artificial neural network ) etc. then appropriate classifiers for face detection and recognition are selected
通過對pca 、 lda 、 gabor和like - harr人臉表示方法的研究,分別為人臉檢測和識別選取了較為穩定而準確的人臉表示;初步嘗試了利用adaboost分類器進行特徵選擇從而消除冗餘特徵,並且提出了採用級聯表示方法快速表徵人臉,從而實現由粗到精、由簡單到復雜的快速人臉表示,這樣既提高了人臉的檢測和識別的速度,還有利於檢測率和識別率的提高。
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