統計檢臉法 的英文怎麼說

中文拼音 [tǒngjìjiǎnliǎnfǎ]
統計檢臉法 英文
statistical testing method
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 臉 : 名詞1 （面孔） face; countenance 2 （某些物體的前部） front 3 （情面; 面子） feelings; sensibilit...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 統計 : 1 （對有關數據的搜集、整理、計算和分析） statistics; census; numerical statement; vital statistic...
  1. In chapter iv, a new method of eyes location is provided. it detects the edg of human face image with wavelet transform in the first. then it begins to statistic the gray value of the row and list

    本文第四章提出了一種基於簡單背景的人眼定位演算法，用小波變換對人臉圖像進行邊緣檢測，對得到的結果進行行列統計，得到人臉的大致位置，再用模板匹配進行最後的精確定位。
  2. A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique

    本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究，其具體內容為：對近年來的研究工作進行了系統的介紹；提出了一個由粗到細的多階段的人臉檢測演算法，該演算法充分利用了序列圖像中人臉模式的各種有用信息，將復雜的檢測工作分為了四個部分：膚色區域分割預處理，人臉粗檢及利用橢圓擬和的人臉區域提煉，應用人臉基本特徵檢測和定位的人臉細檢， pca結合高斯概率密度估計的人臉驗證。
  3. Firstly, we extract the profile features of human face and non - human face from training images ( including human training images and non - human training images ). then, put them into support vector machines ( svm ) to train and classify those features, then use the training results to detect human faces

    該方法是一種統計學的方法，從圖像訓練集（包括人臉訓練集和非人臉訓練集）中分別抽取出人臉和非人臉的輪廓特徵，然後送入支持向量機進行訓練和分類，將訓練結果用於人臉檢測。
  4. In this thesis, we adopt the technique of statistical training, create a sample database of every kinds of expression face images, construct a matrix of the difference of each sample and average image, and reduce dimension by pca, then decrease the relativity of principle components by ica, and therefore get the character sub - space of face. when detecting a face, we adopt the method of disturbing principle components of model to match special facial image, which is called whole optimization method in this thesis

    論文採用統計訓練的思想，選擇包括各種表情變化的人臉圖像建立樣本庫，取所有樣本與平均圖像的差構造一個矩陣，利用主元分析方法進行降維，然後通過獨立元分析降低主元相關性，建立了人臉的特徵子空間；演算法採取對主元進行擾動優化匹配的方法檢測人臉，本文稱此方法為全局最優的方法。
  5. To retrieval directly information with images, by using the face detection technique based on the gravity - center template matching method and the face recognition technique based on methods of the principal component analysis and the linear discriminative analysis

    摘要為了能直接通過圖像檢索自己所需要的信息，提出了一種直接根據人臉圖像來檢索信息的技術，採用基於重心模板匹配的人臉檢測技術與主成分分析方法、線性判別分析方法相結合的人臉識別技術設計並實現了一個人臉圖像檢索系統。
  6. Then organ - based blocking scheme in the face detection method based on knowledge is introduced to the detection method based on support vector machine ( svm ), it reduces the dimension of face character vectors and improves the detection precision

    另外，本文將基於知識的方法中的器官分塊策略引入到基於支持向量機的人臉檢測方法中，將各子塊像素的統計量作為人臉特徵，輸入到svm中。
  7. Human skin color has been proven to be an effective feature and widely used in face detection in resent years. however, color is not a physical phenomenon. it is a perceptual phenomenon that is related to the spectral characteristics of electromagnetic radiation in the visible wavelengths striking the retina

    膚色是一種簡單有效的特徵，在人臉檢測中得到廣泛的關注和應用，但傳統的基於統計的膚色檢測方法不能克服光照、攝像機、膚色差異等因素的影響。
  8. For the frontal upright faces in gray images, a knowledge - based face detection method is proposed. a knowledge base is established according to prior knowledge of faces. the integral image method is used to calculate sub - block ' s statistic values and the computation burden is reduced significantly

    針對灰度圖像，提出一種基於知識的人臉檢測方法，根據人臉檢測先驗知識，在傳統的馬賽克方法基礎上，建立了人臉檢測知識庫，採用積分圖方法計運算元塊的統計量，從而顯著地提高了檢測速度。
  9. First, it studys the objective existence of the fluctuation of our nation " s real estate cycle by means of econometrics. second, it studys nonsymmetry fluctuation and its fluctuation model by statistic analysis, and nonsymmetry fluctuation and its fluc - tuation model of the impacting factors, third, it st - udys the impacting factors by the numbers, especial - ly our state policy cycle leading to the real state cycle. last, it studys many factors colligately by econometric means, from correlativity to multiple linear regression, and founds and passes an econom - etric model by means of eviews software, this model can supply a need of making policies by measuring its impacting factors the next part of the chapter makes a comparatively study the fluctuation of the real estate cycle between our country and xiamen city, and it proofs the objective existence of the fluctuation of the real estate cycle once again

    第三章是全文的重中之重，第一部分首先用計量方法研究了我國房地產周期的客觀存在性，再用統計分析方法研究了房地產周期波動的非對稱性及其非對稱類型，同時研究了許多影響房地產波動的因素也是非對稱性波動及其非對稱類型，接著系統地對各種影響因素進行分析研究，尤其是對我國存在的政策周期引致的房地產周期作了細致的分析，最後進行多因素練合計量研究，從相關關系強弱到多元回歸分析，並利用eviews軟體建立和檢臉通過了計量經濟學模型，可用以計量側定一些因素的變動對房地產周期波動的影響大小，為政策的制定提供了一定的理論依據。
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