In this paper, instead of corresponding image points which are widely used in the literature, corresponding image conics are used to calibrate a rotating camera.
研究探讨了一种基于平面二次曲线的纯旋转摄像机自标定方法。
Since the corresponding pair of feature points was difficult to be extracted in feature points registration methods, an image mosaic method based on interest point matching was presented.
针对基于图像特征点的配准方法中对应特征对难以准确提取的问题，提出一种基于兴趣点匹配的图像自动拼接方法。
The corresponding points between surface of scene, projection plane and camera image plane are worked out by matching subsequence in the designed sequence.
然后在设计的代码序列中进行代码子序列匹配，得到场景表面、摄像机像面及投影平面三者之间的对应点。
The algorithm first describes the left image with DT mesh. As feature points, the vertexes of triangulations are matched in the right image for finding their corresponding points.
本文算法首先对立体图像对中的左图像进行DT网格剖分，把各三角形的顶点作为“特征点”在右图像中寻找它们的匹配点。
In the traditional methods of photogrammetry, the same image points picked out from multi-images is used to calculate the corresponding space-coordinates using the multi-image fore-intersection.
传统的摄影测量是从多幅影像上面提取出同名点，然后利用多片前交解算出其对应的空间点坐标。
Firstly, the corresponding points are established between the points in neighboring slices based on improved points matching rules. Then these points are used to estimate interpolation image data.
先根据改进的对应点匹配准则在相邻层间建立点对点的对应关系，然后利用这些对应点进行插值，得到插值图像数据。
In this paper, a method for performing single view 3d reconstruction is present, in which the user provides image points and geometric information about the corresponding 3d points.
提出了一种单视三维重构方法，该方法是利用用户提供图像点及其对应的三维点之间几何信息。
In this paper, a method for performing single view 3d reconstruction is present, in which the user provides image points and geometric information about the corresponding 3d points.
提出了一种单视三维重构方法，该方法是利用用户提供图像点及其对应的三维点之间几何信息。
应用推荐