不同视点重叠图象的拼接算法大都需要估计相机参数和每个像素的深度等。
The methods of multi-perspective Mosaic ask mostly estimate the parameter of camera, the depth of every pixels, and more images.
为了增大头盔显示器双目显示的总视域而又不降低图象分辨率，本文选用了双视觉的局部重叠视域。
To increase the total field of view of binocular displays without sacrificing image resolution, have opted to partially overlap the fields of the two oculars in this paper.
针对边界部分有重叠的图象，提出了一种基于网格匹配的快速对准算法，并通过平滑因子对图象实现了无缝拼接。
In this paper, we present a fast stitching algorithm for the overlapping images based on grid matching, which makes images matching correctly, stitching images seamless and smooth.
首先对原始图像进行柱面投影，然后通过对图象重叠部分的对应特征区域进行匹配和拼合来实现图象无缝镶嵌。
It first processes original images using cylindrical projection, and then realizes seamless mosaics of images by matching and fitting related featured areas in the overlapped parts of images.
当目标在传感器视场中交叉运动，图像相互重叠时，得到由两个目标形心位置线性组合的融合后的图象测量方程。
When the overlap of target occurs, the resulting centroid measurement of distributed image is a single merged measurement which is a linear combination of the centroids of individual targets.
当目标在传感器视场中交叉运动，图像相互重叠时，得到由两个目标形心位置线性组合的融合后的图象测量方程。
When the overlap of target occurs, the resulting centroid measurement of distributed image is a single merged measurement which is a linear combination of the centroids of individual targets.
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