corresponding image points 中文意思是什麼

corresponding image points 解釋
同名像點
  • corresponding : adj. 1. 相當的，對應的，符合…的 （to; with）。2. 通信的。
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  • points : 波因茨
  1. Based on previous research, the thesis presents a mothod which can pick up depth information through matching image corresponding points, and has getten better result

    本文在分析前人工作的基礎上，提出了一種匹配圖像對應點提取深度信息的演算法，取得較好效果。
  2. The main work completed in the paper is listed as following : 1. image function acquisition -, 2. read bmp files by dib format ; 3. drawing gray scale histogram ; 4. choose a optimum threshold and make gray image become binary image -, s. find image ' s contour points by making inner points become empty and apply template matching on the contour points ; 6. transform the object ' s beginning points ( pixel point ) to the ones in the image coordinate and the positions of in the corresponding three dimensions ; 7. compute the position vector and the normal vector of the object

    選擇一個最佳闋值，把灰度圖像進行二值化處理； 5用掏空內部點法，找到圖像的輪廓點，然後在輪廓點上進行模板匹配； 6把輸出的目標物開始點（像素點）轉化成圖像坐標系中的點和對應的三維空間的坐標位置； 7計算目標物的位置矢量和法向矢量，根據機器人抓取面的法向矢量，找到機器人要抓取的平面； 8
  3. It made use of randomly sampled one edge - point sampling randomly and locally searched two edge - points in an image and information of their neighborhoods to determine a candidate ellipse, then affirmed true ellipse for the candidate ellipse by affirming true circle for corresponding circle into which is transformed by the candidate ellipse

    該演算法利用在圖像中隨機采樣到的一個邊緣點和局部搜索到的兩個邊緣點以及這三個點的鄰域信息確定候選橢圓，再將候選橢圓變換為對應圓，通過確認真圓來確認真橢圓。
  4. On the basis of the probability density function of the disparity gradient, the mutual coordinate constraint of the corresponding points of the two adjoing points in the continous edge of the left image was educed, then the search area of the matching point in the right image was limited

    由視差梯度的分佈密度函數，導出了左圖像連續邊緣上相鄰兩點在右圖像中的對應點的坐標間的相互約束關系，從而限定了右圖像中匹配點的搜索范圍。
  5. The feature points of the image are detected from the lowest approximation of the wavelet transform. the watermark is inserted in the wavelet coefficients corresponding to the feature points

    從圖像小波變換的最低頻逼近中檢測出圖像的特徵點位置，在特徵點對應的小波系數中嵌入水印。
  6. Corresponding image points homologous image points

    同名象點
  7. This protocol is implemented based on lsb watermark technology. its highlight points are : the verification and authentication data are embedded into the images " data, any changes of pixel values and changes in image size due to scaling or cropping as well as block swapping in images or corresponding block swapping between images can be detected and located, logo image is unnecessary

    本文提出的基於數字水印技術的數字圖像完整性與身份驗證技術綜合了信息安全技術中有關消息完整性與身份驗證的方法與數字水印技術，並充分考慮到了數字圖像的特殊性，提出了兩種協議模型：無仲裁協議模型與有仲裁協議模型。
  8. Second, the edge points on the scan - lines of the first prewarped image are detected and the corresponding points on the same scan - lines of the other prewarped image are matched. third, with these corresponding edge points, the scan - lines of the two images are segmented. in the end, more exact corresponding relation of these points are obtained under the use of the affine transformation and the auto - corresponding of the images are finished

    該演算法首先矯正源視圖，使矯正後圖像滿足視點平移關系；然後檢測第一幅圖像掃描線上的邊緣點，再由這些邊緣點匹配出第二幅圖像上對應的邊緣點，利用這些對應的邊緣點再分割兩幅圖像中所對應的掃描線；最後用仿射變換建立較為準確的點與點的對應關系，完成圖像的自動匹配。
  9. Corresponding image points

    同名像點
  10. Considering the number of the feature points extracted in different images is not equal and their locations are also not corresponding, the scheme presents the closest interval criterion and the svd algorithm to accurately register the retinal images. in order to meet the practical requirements of image registration precision and speed, the paper describes the maximal correlation objective function and uses the simplex - simulated annealing algorithm to optimize the parameter

    在基於特徵對應性圖像配準演算法中，利用多方向探測方法準確提取了視網膜圖像中的血管交叉點和分枝點，對于提取得到的配準及參考圖像特徵點之間非對應性且數目不等這一配準演算法中不可避免的問題，本文提出了距離最近標準和svd分解方法，有效的解決了這一問題。
  11. Through a few images and some manual assistance, we can get the camera intrinsic and extrinsic parameters, and reconstruct scene, then use warping method to draw at new view point. the whole procedure can be divided into three part : computing camera intrinsic and extrinsic parameters by self - calibration, get depth information through matching image corresponding points and using warping to render image

    利用少量圖像和一定的人工輔助，獲得攝像機的內外參數，再對場景進行重建，最後使用warping方法完成新視點圖像的繪制。整個過程可分為三部分：利用自定標計算攝像機內外參數，通過匹配圖像對應點提取深度信息，使用warping進行圖像繪制。
  12. Using feature point corresponding technique, artificially select three feature points from the image waiting for mosaic in order to match two images that have piling up area, and then an image mosaicing system is designed and implemented

    採用特徵點匹配的方法，在待匹配的圖像上人工選取三個特徵點以對兩幅有重疊區域的圖像進行拼接，並構造一個圖像拼接系統。
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