pca technology 中文意思是什麼
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In the basis of present technology, we provide our method. with our method, we first extract several low visual feature of the image, such as color, texture etc, and then we fuze the feature into a high dimensional vector ; sencond, we analyze the vector with pca method, which reduce the dimension of the vector ; and last we use the vector to classify the image
該方法的基本思路描述如下：首先，提取圖像的多種視覺特徵（如：顏色、紋理等） ，經融合得到一個高維矢量描述；然後，對該高維矢量描述作pca （ principalcomponentsanalysis ）分析，以獲取其中的主元，降低維數；最後，以降維后的矢量描述為基礎，用於圖片的分類系統。 -
3. the concept of feature fidelity is defined based on principal component analysis ( pca ) and an adaptive threshold based feature detector is then proposed, which takes no advantage of ad hoc knowledge including threshold, photography condition, experimental coefficients, etc., thus greatly expands the applications of facial feature detection technology
3 、提出基於自適應閾值分割的人臉特徵檢測方法和基於主分量分析的特徵真實性概念，將人臉特徵檢測方法建立在無先驗假設的基礎上，克服了現有方法中過分依賴先驗閾值、攝像條件或經驗參數的缺陷，極大擴展了人臉特徵檢測的應用范圍。 -
The other one is the synthetical local nonlinear pca neural network recognition model constructed by combining the nonlinear generalization of pca and sub - space pattern recognition technology. we use the two recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results. compared with some traditional classifiers, our systems have better recognition performances
而基於非線性pca的神經網路識別模型對傳統的線性pca進行了推廣，並利用了子空間的模式識別方法，針對每個字元類使用神經網路建立多個模板，然後利用pca神經網路和聚類演算法構造自動編碼器組對模式類進行重構，避免了特徵提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。 -
This system combines image processing technology and pattern recognition technology. we use pca algorithm to select features from human face. and realize the fast decision to the human face. we use sharping processing, binary processing, smoothing processing to separate the face from the background, and then we use integration projection to realizes the precise location of the face
系統採用了數字圖像處理和模式識別等技術，首先對人臉進行銳化，二值化，平滑等處理，使人臉與背景部分分離開來，然後利用人臉的垂直積分投影和水平積分投影法進行人臉器官的定位。
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