特徵點 的英文怎麼說

中文拼音 [tèzhǐdiǎn]
特徵點 英文
unique point
  • 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...
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. Improving anil jain ' s algorithm, we propose a minutiae match algorithm. our improvement is focused on the following two aspects : first, we use a minutiae alignment algorithm based on the iteration of the neighbor minutia centered at the minutia gravity. secondly, we use a modifiable bounding - box to carry out minutiae matching, which makes our algorithm more robust to the non - linear transform of the fingerprint images

    我們的改進主要體現在二個方面:首先我們利用了一種「基於重心附近遍歷的特徵點對齊演算法」 ，該方法不需要記錄特徵點的多餘信息來進行特徵點的對齊;其次，我們利用一個可變大小的「界限盒」來進行特徵點的匹配，使得我們的匹配演算法對指紋圖像的非線性形變具有更好的魯棒性。
  2. Feature we point out here refers to pupil, canthus, corners of the mouth and corners of the nose

    這里所指的特徵點是指瞳孔、眼角、鼻角和嘴角。
  3. The retinal image segmentation, the feature points of blood vessel extraction, the feature correspondency, the transformation model of retinal image and the registration parameter optimizing methods are all the main facts studied in the paper

    主要研究內容包括視網膜圖像血管網路的分割、血管特徵點的提取、特徵對應性、變換模型以及參數優化等方面。
  4. Second, more feature points are extracted for advanced registration based on projective transformation. compared with the ordinary method, our method has a better robust feature with higher accuracy, it also has a fully automatic feature so it need little human intervention in the whole process. the image segmentation, feature extraction, feature correspondency, and transformation model of multi - modality medical image registration are also studied in this paper

    本研究的創新之處:針對rf和fa視網膜圖像的特點，提出了新的血管細化的新方案;在特徵點提取方面，提出了「三輪定心」這種新的特徵點提取方法;提出了由「粗配」到「細配」的混合配準方法;力矩主軸法用於圖像配準參數的估計及對應性尺度參數范圍的定值。
  5. First the sketch / datum plane is fitted by least - square distance, then the extruded direction or axis with the flank points of the cloud is extracted in quadratic paogramming arithmetic, and certain points projected to gain 2d sketched datas. feature points are defined to segment the sketch datas, and the sketch profile is generated by fitting separately the line and circle segment

    使用最小二乘方法擬合草圖基準平面，採用二次規劃方法提取拉伸方向和旋轉軸線，然後將數據點投影以獲取草圖數據，通過柵格劃分提取草圖邊界輪廓數據，再對這些邊界數據進行基於特徵點的分割，以直線和圓弧段擬合出草圖輪廓。
  6. 3. characteristic points are established through projecting images of regular points to measured surface. space dimidiate coding method which is called rough match and correlation technology, centroid technology, corner detect technology which are called precise match are used to acquire characteristic points accurately

    將空間規則點圖案投射到被測物體表面形成特徵點，然後利用空間二分編碼粗略獲得空間特徵點（稱為粗匹配） ，再利用自相關技術、質心技術和角點技術精確獲得空間特徵點的圖像坐標（稱謂細匹配） 。
  7. In local vector match method, we add the line numbers and the dispersion of direction angle between the center point and near minutiae point. we also add the direction angle of the center point. these additions enhance veracity of the minutiae feature matching

    在局部向量特徵匹配法中加入了中心點與鄰近特徵點的紋線數，方向角差，中心點的方向角等特徵信息，提高了特徵匹配的準確性。
  8. 3. in this paper, the way of the traditional deleting fault character is improved. during the realization, we find the improved way can delete the fake port, isolated point and fake thripoint more validly

    對傳統的去除偽特徵點的演算法進行改進，在具體實現過程中發現，改進后的去偽演算法能更加有效地去除偽端點、孤立點和偽三叉點。
  9. Modeling : this thesis develops a method different from traditional techniques that begins with the cylindrical projection of a generic model and its seamless global texture map using multiresolution technique, and then automatically fit the unwrapped cylindrical projected mesh to the texture map with an improved algorithm that based on 2d morphing to specify corresponding feature points ( or lines ). finally, we propose a formula of inverse cylindrical projection to recompose the deformed mesh, and after the texture mapping a photo - realistic individual facial model is created

    採用多解析度技術構造紋理無縫拼接圖，然後把三維網格模型投影到圓柱面上並展開，根據二維圖象變形技術中特徵點匹配演算法的數學思想，將匹配公式進行改進后應用於模型網格點的適配，在作了一定假設后推導出逆向圓柱映射的計算公式，再將適配后的柱面網格映射回去，最後進行紋理映射生成真實感的特定人臉的三維模型。
  10. We locate the characteristic points basing the spinney shape of mouth and eyes. this method is good for its accurateness of the locating. we partition the face into five departments basing the figure of face, and locate the characteristic points in each department

    根據臉部的輪廓特點，將臉的輪廓分為五個部分，分別進行邊緣提取和主要特徵部位的特徵點地定位，這種方法採用了整體和局部相結合，使得人臉輪廓的定位更加準確。
  11. On detection of prominent point using b - spline model

    樣條模型的曲線特徵點檢測法
  12. Fingerprint identification based on multi - templet characters fusion

    基於多模板特徵點融合的指紋識別
  13. It is very important for minutia extraction in afit ( automatic fingerprint identification technology ) based on minutia matching. the fingerprint image always has much noise and can not be adapted to extract minutia directly, so pre - processing of fingerprint image to get a point - line image is an important part of afit domain

    細節特徵點的準確提取在基於細節特徵點匹配的自動指紋識別技術中十分重要，然而由於各種噪聲的影響，使得所採集的指紋圖像質量比較差，並不適合直接用來提取細節特徵點，所以對指紋圖像進行預處理以獲得清晰的點線圖是自動指紋識別研究領域的一個重要組成部分。
  14. Utilizing the idea of sfs ( shape from shading ) and the facial constrained information, we reconstruct face model by single frontal face image. we utilize orthogonal image method to generate individualized face model by adjusting the parameters of the candide - 4. we realize an algorithm based on minimum features for rapid face modeling from video, by tracking feature points, calibrating exterior parameter, estimating 3d location of feature points

    利用shapefromshading的思想和人臉的約束信息實現了基於單幅正面人臉圖像的重建；以candide - 4的參數調整為手段實現基於兩幅正交圖像的人臉模型重建；通過跟蹤視頻中的特徵點，標定相機外參，進而估計特徵點的3d位置，實現了基於一段視頻中小特徵點集的人臉建模演算法。
  15. This paper proposes a practical method of automatic acquisition cognominal points in system of binocular stereo vision, which provides necessary parameter for camera relative calibration, moreover it presents farther study in acquiring and matching feature points

    提出了一種新的方法來進行雙目立體視覺系統同名點的自動提取，對現有的特徵點匹配方法進行了改進，通過對同名點的自動提取，獲取了攝像機相對校準所必需的參數
  16. Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result

    以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。
  17. This paper makes a good study of the face recognition, including testifying the face from an image, partitioning main area of the face, abstracting the edge of the image, locating the characteristic points, recognizing the same face, etc. i have many new ideas in the study as follows : a method partitioning facial area from an image by 24 _ bit color is described

    本論文對人臉識別技術的演算法作了全面的研究，包括對圖像進行人臉的檢測、區域分割、邊緣提取、去除噪聲和特徵點的定位、特徵向量的提取、識別等這幾個部分。提出了如下幾種實用和有效的演算法：在對當前多種人臉檢測方法的研究后，提出了一種利用膚色對面部圖像進行分割的方法。
  18. This feature extraction method is simple and the precision has little effect on feature invariants because of expanding the scope of the template

    這種特徵提取的方法簡單，並且由於擴大了模板取值范圍，使識別效果受特徵點漏檢的影響較小。
  19. In order to save the cost of the home robot, the robot with single camera as its outer sensor has become a popular research field during the past few years. we need a method to describe the environment so that the single camera can be used effectively. in this paper a novel algorithm named scale invariant feature transformation ( sift ) is used to extract the key points of the environment

    為了利用單目視覺傳感器，需要一種相應的外界環境的描述方法，本文採用一種比例縮放不變的特徵點（ sift特徵點）來描述環境， sift特徵點具有比例縮放不變性，旋轉不變性和部分仿射不變性等優良性能，從而具有高度的可辨別性。
  20. The research results show that the influence of sampling frequency, sampling error of peak value, strobe - position and strobe - width on fft and ifft is obvious

    研究發現，超聲信號的采樣頻率、采樣特徵點、閘門位置及閘門寬度對超聲信號的fft及ifft結果有明顯的影響。
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