特徵檢測 的英文怎麼說

中文拼音 [tèzhǐjiǎncè]
特徵檢測 英文
feature detection
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. To corner feature, both gradient magnitude change and direction change of gradient vector are discontinuity in a local image neighborhood, hence gradient - direction variation and gradient magnitude are used as another decision rule of the corner detection to improve antinoise

    為了提高抗噪聲，根據角特徵不僅灰度變化是不連續的，且相對周圍其他點的梯度方向也是不連續的，提出利用梯度角變化和梯度幅值作為角特徵檢測的另一個準則。
  2. In the first part of the paper, the development of motor control system fault diagnosis theory is summarized. on the basis of the analysis of the characteristics of wavelet, the theory is discussed and the definition of the singularity is given. because of the localization property of wavelet transform, wavelet analysis can be used to detect the characteristics of the singularity from the signal and intermittence fault problems lying in the motor under test

    著重介紹了小波分析在電機控制系統故障診斷中的應用，根據小波理論在時域和頻域良好的局部化性質，討論了利用小波變換來檢測信號的奇異特徵的原理，給出了小波變換對信號奇異性特徵檢測的方法，針對實際應用，對小波基函數選取及小波分解尺度進行了探討。
  3. 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。
  4. Its basic thought is that using amass of simple classifier which has common classified ability and through thecertain method ， at last ， constitutes a very strong classifier which has strongclassified ability carries on many times with this strong classifier to the goalpictures ， finally confirmed the pictures whether includes the human face andits the general position this algorithm uses a characteristic which called haar characteristic thischaracteristic is one kind of simple rectangular characteristic ， because it issimilar with the haar wavelet ， so called haar characteristic this kind ofcharacteristic is composed of two or many rectangles that are congruent andneighboring there are white and black kinds of rectangles in the characteristictemplate, and defines this characteristic template characteristic value as thewhite rectangle this characteristic value is that the difference between white

    本文主要研究基於haar特徵的adaboost演算法。由於以前提出的特徵中包含的人臉基本特徵比較少，導致檢測時間過長。本文根據人臉基本特徵的分佈提出一種新的特徵，新特徵覆蓋了人的眼睛，鼻子和嘴，它由haar特徵中的一些簡單特徵組合而成，形狀類似卷積中用到的3階矩陣，這種新特徵檢測的結果是可以檢測到人臉，時間上得到優化。
  5. About the applications of cognitive map : line feature detection and form based on fuzzy cognitive map, basic shapes recognition based on fuzzy cognitive map, object recognition based on probabilistic fuzzy cognitive map, a new method of image understanding based on cognitive map and robot high - level planning based on fuzzy cognitive map have been realized in this dissertation

    對于認知圖在圖像分析及理解中的應用：本文在認知圖理論研究的基礎上，把認知圖應用到圖像分析與圖像理解中。實現了一種基於模糊認知圖的線特徵檢測與形成方法、基於模糊認知圖的基本形狀識別方法、基於概率模糊認知圖的目標識別方法及基於認知圖的圖像理解方法，並將圖像理解與認知圖應用到機器人的高層規劃系統中。
  6. 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。
  7. Anova based feature detection for multifocus image fusion

    基於方差分析特徵檢測的多聚焦圖像融合方法
  8. The ids works by two way, misuse detection and anomaly detection, misuse detection flags an intrusion on intrusion signature, this kind of detecting technic can be realized much more easily, and much more accurate, but it can not find some intrusiones that have been disguised or new kinds of intrusion. the anomaly detection can detect in more wide field, anomaly detection can compare new statistic data with average record, then anomaly record will be found, but it ' s more difficult to set a threshold, if the threshold is too big, some intrusion may be put through, if the threshold is too small, the ids will give more false positive alarm, and the threshold will be different with different people or different period, so the ids just simply show us their suspicious record, the administrator or expert will be in duty to analyze this record and give conclusion, the ids give more alarm than it should, leave us more detection record to analyze, and this is a hard work, we can not distinguish an intrusion or not if we analyze only one record, but we can judge if we find the relation among mass detection evidence. in this article, we try distinguish an intrusion using d - s theory ( proof theory ) instead using manual work, the ids will be more helpful and efficient

    濫用檢測採用的是特徵檢測的方法，實現較為簡單，判斷的準確性較高，但是不能判斷一些經過偽裝的入侵或特徵庫中尚未包含的入侵，異常檢測能夠根據以往記錄的特徵平均值，判斷出異常情況，但是對于異常到什麼程度才視為入侵，這個閥值非常難以確定，閥值設定的太高，有可能漏過真正的入侵，如果設定的閥值太低，又會產生較高的誤警率，而且這個閥值因人而異，因時而異，因此現在的入侵檢測系統把這部分異常記錄以一定的形式顯示出來或通知管理人員，交給管理人員去判斷，而這些ids系統難以判斷的記錄，如果對每個證據單獨地進行觀察，可能是難以判斷是否是入侵，而把許多先後證據關聯起來，專家或管理人員根據經驗能夠判斷訪問的合法性，本文試圖引入人工智慧中證據理論的推理策略和示例學習方法，代替人工檢查分析，可以提高效率，降低誤警率，並可以對一個正在進行得可疑訪問實現實時檢測，通過搜索及時判斷，及時阻斷非法訪問，比事後得人工處理更有意義。
  9. We first propose an improved local edge detector to detect road elements from sar images. by introducing prior information of road network, we can organize the local line fragment into useful line structure with directional potential function

    首先利用一種改進的sar圖像局部線特徵檢測運算元獲得公路段基元，然後引入關于公路特徵的先驗知識，利用方向勢能函數將局部線特徵組織成較大線性結構。
  10. Abstract : the threshold algorithm of the target detection is often used to detect target echo signals. its performance is based on signals - noise ratio. when signals - noise ratio is great than 6. 7, the target can be detected. in order to increase the signals - noise ratio, matching filter is often used. if the system is narrow band system, the noise is color noise and matching filter cannot be used. therefore, the signals - noise ratio cannot be increased. however, the geometrical characteristic of the laser echo signal is different with the noise. this paper advises the algorithm that detects the target by the geometrical characteristic. when signals - noise ratio is great than 2, this algorithm can detect target. this algorithm has been used in practice

    文摘:目標檢測的閾值法經常用於檢測目標的回波信號.它的性能取決于信噪比，當信噪比大於6 . 7時，能夠檢測出目標.為了提高信噪比，經常採用匹配濾波器.如果系統是窄帶系統，噪聲為色噪聲，無法使用匹配濾波器，不能提高信噪比.激光回波信號的幾何特徵不同於噪聲.提出了一種利用這種幾何特徵檢測目標的演算法.當信噪比大於2時，該演算法能夠檢測出目標.該演算法已經實際應用
  11. Line detection based on beamlet transform

    變換的線特徵檢測
  12. A cross - verification mechanism is worked out for detecting facial features on moving pictures by merging the technologies of both image analysis and motion analysis. it provides a solution to the problem of error - correction and feature estimation and makes it possible to detect facial features on video segment at a correction ration of 98 %, thus paves the way for the application of content - based retrieval and video encoding

    2 、提出圖像分析和運動分析相結合的交叉驗證方法，實現了活動圖像人臉特徵檢測中的自動糾錯和特徵估計機制，從而使視頻中人臉特徵自動檢測的正確率達到98 %以上，為基於內容檢索和視頻編碼的應用開辟了道路。
  13. Fast eyes location approach based on self - defined feature detection template

    基於自定義特徵檢測模板的快速眼睛定位方法
  14. About feature extraction, a new method of image edge detection, using multiple edge features and fuzzy reasoning, is submitted

    在邊緣檢測技術的研究方面，本文提出一種新的邊緣特徵檢測方法。
  15. 4. an adaptive face detection method is proposed, which combines feature detection and color analysis and makes it possible to detect multiple faces on the complex background under varied lightning conditions

    4 、將特徵檢測和顏色分析相融合，提出自適應可變模型的人臉檢測方法，解決了復雜背景和光照可變條件下的多人臉檢測問題。
  16. New method for facial feature detection based on range data

    一種基於三維深度數據的臉部特徵檢測方法
  17. So, a new method by fusing the ef feature detection with the cfar detection is provided. the experiments proved

    在此基礎上，提出了將ef特徵檢測和基於二次gamma核的檢測進行融合的檢測方法。
  18. After analyzing the real match position and false match position from the correlation surface, the new method can search the real match position based on the feature of the peak on the correlation surface

    由灰度相關計算得到的相關面，通過分析真實匹配位置和虛假匹配位置局部極大值峰的特性，找到了一種基於峰值特徵檢測尋找真實匹配點的方法。
  19. We introduce and improve two detection methods : the extended fractal ( ef ) detection and the quadratic gamma detection

    引入並改進了兩種利用目標特徵進行檢測的方法: ef特徵檢測和基於二次gamma核的目標檢測。
  20. Following are the main points of the paper : 1. signature - based intrusion detection system takes advantages of advanced pattern - match algorithms

    文章在如何提高特徵檢測的效率和準確性方面主要做了下面的工作： 1
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