In this paper, a novel image Mosaic algorithm is proposed.
文章提出了一种基于形状模板匹配的图像自动拼接方法。
In this paper, an automatic and robust image Mosaic algorithm is presented.
提出了一种全自动稳健的图像拼接融合算法。
Motion parameter estimation play an important role in image matching, electric image stabilizing and image Mosaic, and the block-matching algorithm is the most used method.
运动参数估计在图像配准，电子稳像以及图像拼接中起着很重要的作用，其中块匹配算法是经常使用的一种方法。
Based on equidistant matching, a fast algorithm for cylindrical panoramic image Mosaic is proposed.
基于等距离匹配思想，提出一种快速的柱面全景图像拼接算法。
A two-pass Mosaic algorithm of panoramic image using maximum grads and intensity correlation was proposed.
提出一种基于最大梯度和灰度相关的两步全景图拼接算法。
This paper proposes an intermediate view synthesis algorithm based on image mosaic to create the virtual view image by exploiting view interpolation and morphings.
该文提出一种基于图像拼合的中间视合成算法，利用图像插值和变形技术，生成虚拟视点图像。
In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
The Mosaic results of multiple images obtained by fundus camera show that the algorithm has good robustness and stability, and high-precision automatic fundus image Mosaic can be achieved.
对实际眼底照相机获取的多幅图像拼接结果表明，该算法具有很好的鲁棒性和稳健性，可以实现眼底图像的高精度自动拼接。
Experimental results show that the image Mosaic effect is wonderful and the algorithm is stable very much. It is high valuable in practice.
实验结果表明，该算法拼接效果理想，鲁棒性强，具有较高的使用价值。
This paper proposes an intermediate view synthesis algorithm based on image mosaic to create the virtual view image by exploiting view interpolation and morphings.
中间视合成是实现立体交互式显示的关键技术，即在观察者改变观看位置时，可以通过系统合成的虚拟视点获得环视的效果。
The key technologies of image Mosaic and image fusion are focused on. During the stage in the image Mosaic, the image matching algorithm based on the feature points has been implemented.
本文按流程详细介绍了全景图生成过程中的各项技术，重点研究了图像拼接技术中的图像拼接及图像融合等关键技术。
The results show that the algorithm can correct the adjacent camera image brightness and color difference effectively, and makes a good improvement for image mosaic at later period.
实验结果证明，该算法能有效校正相邻摄像机图像的亮度和色差，对后期的拼接融合处理起到了很好的改善效果。
The results show that the algorithm can correct the adjacent camera image brightness and color difference effectively, and makes a good improvement for image mosaic at later period.
实验结果证明，该算法能有效校正相邻摄像机图像的亮度和色差，对后期的拼接融合处理起到了很好的改善效果。
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