face-on projection 中文意思是什麼

face-on projection 解釋
正面投照
  • 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...
  • on : adv 1 〈接觸、覆蓋〉上去；開（opp off）。 turn on the light [radio water gas] 開電燈[收音機、自來...
  • projection : n 1 射出，投擲，發射，噴射。2 投射；投影，投影法；（地圖）投影圖製法；【電影】放映。3 凸出；凸出...
  1. It can save the information near lips, which may be deleted by the method based on two points. ( 2 ) based on the analysis of current methods, a new multi - pose facial feature location algorithm is developed, which is based on the analysis of multi - feature and integral projection, the combination of an iterative search with a confidence function and template matching. the algorithm not only improves the location accuracy, but also speeds up a great deal. ( 3 ) based on the analysis of the advantages and disadvantages of current feature extraction methods, an adaptive facial feature selection criterion is developed, which is based on facial local feature protrusion consisting of several aspects, such as face image resolution and image quality

    其後研究了人臉特徵提取，一、討論了適合於多姿態人臉識別的基於三點仿射變換的人臉圖像歸一化方法，以克服基於兩點仿射變換會引起較大圖像信息損失的缺陷；二、在分析現有器官定位演算法的基礎上，提出了新多姿態人臉器官特徵定位技術，將多特徵和直方圖分析、基於置信度函數的迭代搜索和模板匹配相結合，既提高了器官定位精度，又提高了定位速度。
  2. The algorithm distinguishes the face from background through performing smoothing, binary and edge detection on the original images. and then detect the sphere and possible location of face through integration projection, at last realizes the precise location of the face within the sphere

    本演算法對人臉做平滑、二值化、等預處理后，使人臉與背景部分分離開來，然後利用積分投影法預測人臉可能的范圍與位置，在限定的范圍內採用模板匹配的方法定位人臉，從而實現了快速、可靠的人臉定位。
  3. Engineering drawing has always been labeled as a practical subject. a combination of geometrical, building. mechanical and electrical drawing, it relates between theory and the picture of reality. engineering drawing will provide an accurate and complete ptcture for every object tn terms of shapes and sizes. usually, it is taught using the face - to - face teaching mode even in an odl environment. due to its nature, some students may find difficulty in imagining and interpreting the drawings. however, the availability of sophisticated technology provides the opportunity for the learning of engineering drawing to be enhanced via online. a web - based system for teaching and learning engineering drawing was developed based on a constructivism model. the web - based system is tailored for several topics of engineering drawing such as orthographic projection, sectional view, isometric and oblique drawing at the secondary level. the learning strategy consists of multiple phases beginning with introduction, concept learning, engineering drawing method, application and exercises. during introduction, students will be exposed to an overview of the topic followed by learning of specific concepts. the system provides a learning environment that allows engineering students to view objects from different angles, such as third angle projection and first angle projection as well as views of plans, side and front elevations. after learning about the concepts, students wilt be guided through the various steps in drawing methods for each topic via animations and simulations. learners are able to view any section repeatedly. examples of real application of engineering drawings were also given using graphic, animations and video. to evaluate students understanding, exercises were given at the end of each session

    工程制圖一直被認為是一門實踐性學科，其整合了幾何學、建築、力學、電子制圖等，從而將理論與現實圖像聯系起來，工程制圖能為每個不同形狀、尺寸的物體提供精確的、完整的圖像.通常，即使在開放與遠程教育環境中，工程制圖的教學也是通過面對面的教學模式來進行的.由於其特殊性，一些學習者可能難以想象並解釋這些圖像.然而，尖端的技術使得可以通過在線的方式加強工程制圖的學習.研究者基於建構主義模式開發了一個面向工程制圖教學和學習的網路系統.該系統適用於幾種工程制圖，例如展開圖、刻面圖、等角圖和斜角圖.學習過程包括導論、概念學習、工程制圖方法，以及應用與練習等階段.在導論階段，系統為學習者提供了專題簡介，然後是概念學習階段.系統所提供的學習環境允許工程專業的學生從三維透視、一維透視、平面圖、側立面、正立面等不同角度來觀察物體.經過概念學習階段后，系統將引導學生通過動畫和模擬學習每個專題中制圖方法的不同步驟，學習者也能重復觀察任何剖面.另外，還通過圖像、動畫和視頻等方式展示真實的工程制圖應用案例.最後，為了評價學生的理解能力，在每部分內容後面都附有相關的練習
  4. This algorithmcarries on two values pictures processing in the differencefoundation, according to the human body statistical characteristic, proposed through the judgement projection curve second time derivativesize, determines the person face boundary the method

    該演算法在差分的基礎上進行二值圖像處理，根據人體的統計特徵，提出通過判斷投影曲線的二階導數大小，來確定人臉邊界的方法。
  5. Face recognition based on the algebraic feature face recognition based on the algebraic feature expresses the human faces by vectors of feature too. but the vectors are algebraic feature ones. it is the projection of the human faces in the lower dimension sub - space of eigenface

    基於代數特徵的人臉識別方法這類識別方法也是將人臉用特徵矢量表示，但採用的是代數特徵矢量：即人臉圖像在由「特徵臉」張成的降維子空間上的投影。
  6. In this paper, we focus our attention on linear projection analysis and develop some new algorithms as regards it. and, these algorithms are verified to be effective in the application of face identification and handwritten character recognition

    該文就有關線性投影分析的理論與演算法進行了深入的研究，所提出的演算法在人臉識別和手寫體字元識別方面得到了較成功的應用。
  7. By the reason of characteristic on statistics of images, we gave a face searching and locating algorithm based on the second derivatives operator. we obtain the position of face by calculating the change of projection curve using the second operator

    該方法計算人臉在兩個投影方向上的統計特徵，使用二階微商運算元估計投影曲線斜率的變化，進而找出人臉的外接矩形，判斷頭部在圖象中的位置。
  8. Thirdly, concerning the rotation and the shear of portrait images, the face area can be detected accurately and rapidly by an effective algorithm of the cascade classifier based on adaboost learning method. so the adjustment of zoom is realized. and then, the normal shear is achieved ground on the projection method

    第三，針對實現圖像的縮放和裁切，採用基於adaboost學習的層疊分類器的人臉檢測方法快速準確地檢測出人臉區域，利用人臉區域的大小縮放圖像;並基於投影的方法實現圖像的標準裁切。
  9. As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. while extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes : binary, sharpen, smooth, projection, calculating gradient and so on. in order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, k - l transformation

    首先根據人臉圖像二值化圖中頭發塊的輪廓，確定出人臉的一次輪廓；然後在人臉的一次輪廓中以黑塊分析與投影分析相結合的方法定位出人眼，黑塊分析基於圖像的二值特徵以及人眼的幾何特徵，投影分析則基於圖像的灰度特徵進行，它對黑塊分析的結果進行補充；根據定位出人眼信息，取出人臉的二次輪廓；對人臉的二次輪廓進行標準化，獲取人臉的標準圖像。
  10. A face recognition based on fusion features extraction from two kinds of projection

    利用兩類投影方法進行特徵融合的人臉識別
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