matching face 中文意思是什麼

matching face 解釋
配合面
  • matching : 表芯板搭配
  • 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...
  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. In order to satisfy the new requirement of the police on arresting criminals by on - line information, we took deep research in the recognition of human ' s frontal face, and did lots of experiments in the period of automatic face locating and feature extracting. in this dissertation we proposed a new adaptable two - step face locating algorithm, which combined hbel algorithm and ellipse - model matching algorithm, and men we use eigen - region analysis ( era ) to extract feature

    本文以公安系統的網上追逃為研究背景,著重對人臉正面圖像的靜態匹配做了深入探討,在人臉自動定位和人臉特徵提取方面做了大量的實驗與工作,並獨創性地提出了自適應的二級人臉定位演算法( hbel演算法+橢圓模板匹配演算法) ,使用基於特徵區域的分析來提取人臉特徵進行識別。
  3. But it is found that the matching theory of conceptual dynamic attribute set has to face many problems such as the maintenance of a huge rule set, just as many other rationalism methods

    由於概念的動態特徵集匹配理論與其他理性主義方法一樣,面臨著維護龐大的規則集等眾多問題。
  4. Abstract : the paper introduces advantages of cantilever assembly of long - span pc continuous beam. exploration is made on line control, shear key design, matching face treatment and grouting quality requirements, etc

    文摘:結合工程實際介紹大跨度預應力混凝土連續梁懸拼施工的優點,對線形控制、剪力腱的設計、匹配面處理、壓漿質量要求等問題進行了探討。
  5. Including : ( 1 ) a face recognition algorithm using support vector machines is introduced. the svm training time is reduced dramatically owing to a fast svm training method which gets support vectors in advance and then uses an iterative and circulative strategy for training. ( 2 ) a twice fingerprint matching algorithm is introduced

    ( 1 )利用支持向量機來實現人臉識別,採用了一種支持向量機快速訓練演算法:即利用svm訓練中只有支持向量起作用的特點,採用預先提取支持向量和循環迭代的方法進行svm訓練,大大減小了訓練規模,提高了訓練速度。
  6. 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。
  7. 11 moghaddam b, wahid w, pentland a. beyond eigenfaces : probabilistic matching for face recognition. in proc. the ieee international conference on automatic face and gesture recognition, nara, japan, 1998, pp. 30 - 35

    由於多本徵空間multiple eigenspaces比單一的本徵空間具有更強的描述能力,因此近年來在人臉識別的相關研究中受到了廣泛關注。
  8. In this paper, two parts of the body leg and head are tracked. the lower limb is tracked using geometric characteristics, the original image sequence is first transformed to the distance image sequence, and then the four joints of the leg are tracked on the distance image sequence. based on visual perception, the head is tracked using color information of face and matching is proceeded from coarse to fine matching, fuzzy pattern recognition is also applied during fine matching

    論文中,跟蹤了兩個局部部位腿部和頭部的運動,利用人體腿部的幾何特徵,將原始腿部圖像序列變換到相應的距離圖像上,然後對人體腿部的四個關節點運動進行了跟蹤;根據人類視覺識別特性,採用由粗到細的匹配過程和基於面部的色彩信息對圖像中的頭部進行了檢測,並且在細致匹配中利用了模糊模式匹配方法。
  9. 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。
  10. The so - called face recognition is the face classification by firstly using certain algorithm to extract face features and then matching face features, which includes face tracking, face detecting, face feature detecting, face recognition, emotion analysis, an so on

    通過某種演算法提取人臉的面部特徵,然後進行特徵匹配以確定人臉的歸屬,這就是所謂的人臉識別。它包括人臉跟蹤、人臉檢測、面部特徵點檢測、人臉識別、表情分析等多種內容。
  11. Yet, it was dame helen mirren who was rendered almost speechless last night at the greatest briton awards as she came face to face with david beckham. wearing a glamorous silver evening gown, teamed with matching shawl and diamond - encrusted jewels dame helen said : " i am absolutely speechless

    然而,就在昨晚「最偉大英國人」的頒獎典禮上,當海倫米倫爵士見到大衛貝克漢姆時,她幾乎說不出話來。
  12. In this paper, we present a multi - feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background. it is a hierarchical approach and integrates the skin color segmentation, face template matching and a neural network frontal face detector. with the elimination of false areas, the search area will become smaller and smaller, and the detection will be accomplished eventually

    該演算法是一種層次式、由粗到精的檢測方法,按照「分割-搜索」的檢測模式,將膚色分割、平均臉模板匹配與神經網路驗證結合起來,採取逐步排除的方法,一步一步縮小搜索區域,實現彩色圖像中單個或多個正面端正人臉的檢測與定位。
  13. Among the face tracking algorithm, we first use difference image to gain the raw - location, then in the limited position, we use two template matching to tracking face

    在人臉跟蹤的演算法中,採用了在差分圖像粗定位的基礎上,在一個確定的小范圍內利用雙模板匹配進行跟蹤。
  14. Based on the analysis of those existing generative models, this paper conducts research on the local modeling based face recognition method, and obtains the following results : ( 1 ) proposes a densely local matching ( dlm ) based face recognition method, in which by densely sampling original images we can get several sub images, which reflect features of different local regions, and obtained the final matching similarity through syncretizing the results of local subimage matching similarity

    本文在分析現有的產生式方法的基礎上,對基於局部建模的人臉識別方法進行研究,取得了以下研究結果: ( 1 )提出了一種基於稠密局部匹配( denselylocalmatching ,簡寫為dlm )的人臉識別方法。該方法通過對原始人臉圖像進行稠密重采樣,得到反映不同局部區域特徵的子圖像,並最終通過融合局部子圖像匹配結果來得到最終的圖像匹配相似度。
  15. Finally, the face template matching and bp neural network are used to verify whether the probable face area is a face indeed, and the final detection result will be obtained

    最後,對得到的候選人臉區域,使用一種平均臉模板匹配與bp神經網路驗證相結合的方法進行檢測判斷,得到人臉檢測的最終結果。
  16. The system combines image processing and pattern recognition techniques. we present a fast and reliable face location algorithm based on template matching

    系統採用了圖像處理和模式識別等技術,提出了一種基於模板匹配的快速人臉定位演算法。
  17. 5. a study on face recognition for varied poses and large face database is made on the basis of automatic multi - view modeling and multi - template matching

    5 、提出基於特徵的多姿態自動建模方法,結合多模板匹配策略,有效解決了大容量可變姿態的人臉識別問題。
  18. The analysis of matching auxiliary haulage system at fully mechanized coal face

    對綜采工作面輔助運輸系統配套分析
  19. This thesis is focus on arbitrary background image which maybe contain human face, and build a research system combines the skin color segmentation, face template matching and filter candidate region by facial characteristic, some experiment have done based on the system and get a serials statistic data

    本文針對復雜背景下的彩色正面人臉圖像,將膚色分割、模板匹配與候選人臉圖像塊篩選結合起來,構建了人臉檢測實驗系統,並用自製的人臉圖像數據庫在該系統下進行了一系列的實驗統計。
  20. Aims at application, we mainly discuss face detection in two circumstance. ( 1 ) in the gray image, we use difference image in multi - frames, then get the edge of the face, we make the raw - location to ensure the approximate position of the face, next, we use the template of the face to occlude the pseudo face region and get the region which near the exact face region. ( 2 ) use method of two template matching, first, we get the face template from many face average, second, we copy the eye section of the face template then get the eye template

    文中首先介紹了圖像預處理的各種方法,重點介紹了圖像分割和人臉檢測定位,針對實際應用的要求,著重處理了兩種情況的人像檢測定位: ( 1 )在灰度圖像下對連續輸入的多幀進行差分,對于得到的邊緣進行處理初步確定人像的大概位置,然後採用模板匹配進行精確定位。 ( 2 )應用雙模板匹配的方法,由多人臉平均得到人臉模板和眼睛模板,在檢測中採取了首先使用尺度相對較小的雙眼模板搜索候選人臉,再用人臉模板匹配進一步篩選候選人臉的方法。
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