face detection 中文意思是什麼

face detection 解釋
臉孔智能定位
  • face : n 1 臉，面孔；面貌，樣子；面子，威信。2 愁容，苦臉；〈口語〉老面皮，厚臉皮。3 外觀，形勢，局面。4...
  • detection : n. 1. 探知；發現，發覺；敗露。2. 【化學】檢定，檢查；【電訊】檢波。
  1. However, face detection is a most challenging task because of the complicated pattern and the frangibility of human face

    但是，人臉檢測又是一個很有挑戰性的課題。
  2. A method of face detection based on support vector machine ( svm ) is put forward. the features are extracted by applying the discrete cosine transform ( dct ) to the preprocessing image. the dct coefficients are inputted to the svm and the svm are trained using the cropped face samples and the " bootstrapping non - face " samples

    對預處理后的圖像進行離散餘弦變換提取特徵，取dct系數作為支持向量機的輸入，將經過裁剪的「人臉」樣本與「自舉」方法得到的「非人臉」樣本一起用來訓練支持向量機。
  3. Fast human face detection based on grey discontinuous feature structure

    基於灰度突變特徵結構的快速人臉檢測
  4. 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。
  5. The focus of this thesis is the application of motion vectors of mpeg stream and skin - color model to the pretreatment of the face detection a detailed discussion on related theories of digital image processing is presented. then a fast and robust face detection algorithm is proposed at last, a prototype application named with " golden eyes face detection system " is designed with vc6. 0 to verify the validity and accuracy of the algorithm. at the same time, major functions of digital video record ( dvr ) are implemented in the system too

    詳細討論了在人臉檢測過程中涉及的有關數字圖像處理理論，提出了一種視頻運動圖像中快捷、魯棒的人臉區檢測演算法，並用vc6 . 0開發了一套原型程序「金睛人臉檢測系統」驗證了這一演算法的有效性和檢測精確率，同時實現了數字視頻錄像（ dvr ）的主體功能。
  6. Based on the survey of the existing methods, a study on the on the application of skin - color model to face detection is proposed

    本文在對已有方法的分析基礎上，重點研究了將膚色信息應用於人臉檢測演算法中。
  7. In the final, the thesis build a rapid face detection system using a cascaded classifiers based on adaboost learning algorithm, harr - like feature and the method of building classifier

    最後本文運用基於adaboost學習演算法和harr - like特徵及本文提出的由特徵構造分類器方法，採用一種分級分類器的結構，搭建了一個快速的人臉檢測系統。
  8. There are three factors must research in the rapid face detection method based on learning : learning algorithm, the definition of features and the method of building classifier based on these features, the manner of combining effectively these features

    本文認為，在基於學習的快速人臉檢測方法中，有三個需要研究的要素，分別是學習演算法、特徵的定義及基於此特徵形式構造分類器的方法和特徵的有效組合方式。
  9. This paper presents a new face detection algorithm for color video images based on skin color and multimodal information fusion. first, this paper presents a new means for selecting skin samples ; and then comparing skin distribution in the eight color spaces and analyzing the adaptability for different skin patterns, poses a face initial orientation ' s method which uses the single gaussian model in the tsl color spaces, and calculates skin probability images ; afterwards comprehensive comparing three typical threshold value separating algorithms, put forwards a face separating method which bases on region growing and fuses multimodal informations ; final, raises a face confirming algorithm which fuses three shape features

    首先提出了?種新的膚色樣本選取方法；然後通過對八種色空間膚色分佈的比較以及不同膚色模型適應性的分析，提出了在tsl色空間上用單峰高斯模型模擬膚色分佈，求得膚色概率圖進行人臉初定位的方法；隨后在綜合比較三個典型閾值化分割演算法的基礎上，提出了融合多源信息進行區域生長分割人臉的演算法；最後提出了融合三個形狀特徵的人臉確認演算法。
  10. Face detection based on skin color in complex background

    復雜背景基於膚色的人臉檢測
  11. Along with the generalization of computer application, the improvement of computer performance and achievements in image processing and pattern recognition fields, human - face concerned applications is getting nearer and nearer to practical use, thus resulting in more and more emphasis pver research for human face detection

    隨著計算機應用的普及、性能的提高以及圖像處理和模式識別領域的研究逐步成熟，人臉相關的應用越來越成為現實，因此對人臉檢測的研究也正在受到越來越多的重視。
  12. A model of attention - based image recognition and its application in face detection

    基於注意的圖像識別模型及其在人像檢測中的應用
  13. The paper describes algorithms about face detection and face recognition as many as possible. authorized by icc micro - electronic company in shen zhen city, we make faceok software

    本文詳細列舉出了人臉檢測定位和識別的各種演算法，對各種檢測和識別演算法的特徵做了概括。
  14. Robust face detection in complex background

    一種穩健的人臉檢測方法
  15. So, most face detection methods have the weakness of large computation, low efficiency and many false reports among the detection result

    由於人臉模式錯綜復雜、易受干擾，所以人臉檢測演算法一般都存在計算量大、速度慢、誤報率高的弱點。
  16. 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。
  17. 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。
  18. A face detection method using color information

    一種基於顏色信息的人臉檢測方法
  19. In this thesis, we present one prototype system of video based performance - driven facial expression animation, and describe in detail the relative content of face detection, feature extracting, feature tracking, special face modeling, expression animation and the like

    本文提出了一個視頻驅動的人臉動畫原型系統，詳細介紹了構造該系統所涉及的人臉檢測、特徵提取、特徵跟蹤、特定人臉建模、表情動畫等方面的技術。
  20. In order to solve the multiple camera best view selection problems, not only we present two selection algorithms based on skin ratio and color hist matching, but an improved face detection algorithm based on motion segmentation is presented for static camera

    提出了一種基於多攝像機的動態背景下人臉最優視角選擇演算法。在給出最優視角選擇準則的基礎上，根據實際應用分別提出基於膚色比率與彩色直方圖的最優視角選擇演算法。
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