matrix calibration 中文意思是什麼

matrix calibration 解釋
矩陣校準
  • matrix : n （pl matrices 或matrixes）1 【解剖學】子宮；母體；發源地，策源地，搖籃；【生物學】襯質細胞；間...
  • calibration : n. 1. 測定口徑。2. 刻度，標度，劃度數。3. 校準；標準化。
  1. In the self - calibration scheme, the thesis emphasizes the accuracy of camera intrinsic and extrinsic parameters. we presents an accurate f method based on corresponding point adjustment. the method adjusts coresponding points according to the fixedness of projective transformed cross ratio, then calculates f matrix accurately through linear and non - linear methods. when computing intrinsic parameter, a matrix, we simplify the step, and stress on the two important parameters of a. the result will be getten through solving kruppa equation based on svd decomposition. in order to compute extrinsic parameters, we use linear method to get initial r and t, then apply non - linear method to accurate them

    提出了基於匹配點調整的f求精方法，先根據攝影交比不見性對手工選擇的匹配點進行調整，再用線性、非線性結合的方法求精f矩陣；在計算內部參數a中，進行了一定的簡化，把重心放在a中重要的兩個參數上，用svd分解法計算kruppa方程；在計算外部參數時，首先用線性法求解r 、 t ，然後再用非線性法迭代求精。
  2. During simulation of kinematic calibration of virtual axis machine tool, indirect method is used for measuring its position and orientation ; meanwhile jacobean matrix regrouping method is used instead of arduous optimization to avoid measurement noise maginification

    摘要在對虛擬軸機床進行運動學標定的模擬計算過程中，採用間接測量法對虛擬軸機床的運動進行間接測量，然後通過矩陣重構的方法來解決測量噪聲的干擾問題。
  3. In the height - calibrating method, after the calibration board is moved twice, the calibration matrix can be got from the relationship between the phase and the height of the calibration board

    通過移動標定平面到兩個不同位置，得到標定位置處的光柵圖像，根據平面間的相位差和高度差得到高度標定矩陣。
  4. In the first part, depending on three or more images, the main research work are listed as follows : ( l ) using svd decomposition to realize projective reconstruction ; ( 2 ) realizing camera self - calibration by solving kruppa ' s equation ; ( s ) recovering euclidean reconstruction from projective reconstruction. depending on only two images, the main researches are : ( l ) making out infinite plane homography matrix by using scene structure information, then recovering affine reconstruction from projective reconstruction ; ( 2 ) making out the absolute conic images by using scene structure information, and then recovering euclidean reconstruction from projective reconstruction

    在第一部分中，針對三幅及三幅以上的圖像，主要研究：利用矩陣奇異值分解（ svd ）實現射影重構，通過求解kruppa方程實現攝像機自標定，由射影重構恢復歐氏重構；針對只有兩幅圖像的情況，主要研究：利用場景結構信息求解無窮遠平面的單應矩陣，由射影重構恢復仿射重構，利用場景結構信息求解絕對二次曲線的像（等價于標定攝像機） ，由仿射重構恢復歐氏重構。
  5. In this paper we discuss if two cameras have the same calibration matrix how to use some knowledge of scene ' s to stratified reconstruction from a pair of views. the key to the projective reconstruction is compute the fundamental matrix

    本文研究在僅有兩幅圖像的條件下，如果攝像機內參數保持不變，如何利用場景中的結構信息對空間物體分層重構。
  6. Methods based on statistics for dimensional position and data processing were suggested for the calibration of the dimensional angle shown by a programmable dynamic target using linear matrix ccd and video interpretation. studies in this paper show that the programmable target system is functional and capable of testing photoelectric theodolite. consequently conclusions can be drawn that programmable dynamic target is new equipment to tes t photoelectric theodolite, not only can it check and test the performance, but also can measure the precision

    得出了初步結論：可編程動態靶標由於配置了位置輸出元件和時間統一系統，實現了位置閉合，能對靶標的運動進行有規律的控制，克服了常規旋轉靶標的固有缺點，可以提供模擬目標的空間標準角，因此可編程動態靶標不僅可以作為跟蹤靶標使用，還可以作為測量靶標使用，是檢測光電經緯儀跟蹤性能和測角精度的新裝置。
  7. Camera model is established above all. some methods of camera calibration, the epipolar geometry constrain and various computational techniques of fundamental matrix are systematically analyzed and compared in this thesis. we present a camera calibration algorithm by viewing a plane using reprojection

    論文首先建立了攝像機模型，分析比較了幾種不同的攝像機定標方法、極線幾何約束關系和基礎矩陣的多種計算方法，提出了一種結構再投影平面模板攝像機標定演算法。
  8. A technique that is called perspective matrix calibration is studied for solving external parameters of the digital camera

    數碼相機外部參數標定採用了透視矩陣法。
  9. In this paper, aimed at the characteristic of sensor acting force, a kind of calibration is proposed using cantilever. the cantilever and calibration device are designed, a linear calibration method is introduced. then the calibration experiment is performed, and the calibration matrix is solved

    針對傳感器測量力極小的特點，採取了利用懸臂梁加載、顯微視覺測量的微力間接標定法進行傳感器標定，設計了懸臂梁、標定裝置，採用線性解耦方法，進行了標定實驗，求解出標定矩陣，對傳感器的靜態性能進行了測試。
  10. Based on analyzing the structure of the system, a fast calibration method is presented to get the relationship matrix between the height and the phase

    分析了多種測量系統結構，採用快速標定方法來對系統進行標定，並對標定中沿高度方向解相問題進行了研究。
  11. At the same time we analyze how to calculate the camera calibration matrix based on 3 parameter model in one image

    本文同時在理論上分析了在一幅圖像中如何計算簡化的基於三參數的攝像機模型。
  12. In this article, a new unwrapping method is presented, which can get the real phase of the image and overcome the influence of the noises. 4. after the measurement system solves the difference of phase through ftp and makes the data multiply with the calibration matrix, the real height of the object surface can be got

    因此本文對ftp法的解相問題做了改進，提出了一種逐點增長解相方法，可以快速得到變形光柵相對參考光柵的實際相位差，有效地消除相位圖象中噪聲的影響，並用實驗對所提出的解相方法進行了驗證。
  13. Fundamental matrix and camera self - calibration are two key concepts, and model parameter estimation and implement of 3d reconstruction are main items as well

    在三維重建中，基礎矩陣和相機自定標是兩個核心概念，模型參數估計和三維重建實現是主要研究內容。
  14. There are many key techniques in 3d reconstruction from uncalibrated image sequences, which are feature matching, fundamental matrix estimation, camera self - calibration, dense stereo matching and euclidean reconstruction

    基於非定標圖像序列三維重建研究涉及的關鍵技術有:特徵匹配、基礎矩陣估計、稠密匹配、相機自定標、歐氏重建等。
  15. We firstly analyze the theory of eigensystem of homograghy matrix between translation visions find the relation between its eigen - subspace and intrinsic parameters of camera. then we apply the eigen - system theory to camera self - calibration and get two methods for linear calibration. we also give its other applications

    首先研究了平移視點間單應矩陣的特徵理論，找出其特徵子空間和攝像機內參數的關系；然後將特徵理論應用於攝像機自標定，得到兩種自標定的線性方法，並且給出了特徵理論的其它應用。
  16. By matrix decompose we at last obtain the camera calibration matrix

    最後分解出攝像機內參數。
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