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| 低重叠率和弱纹理图像的快速拼接算法 |
| Quickmosaicking of images with low overlap and space texture |
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| DOI： |
| 中文关键词: 相位相关 金字塔模型 图模型 光束平差法 |
| 英文关键词: phase correlation hierarchical model graph model bundle adjustment |
| 基金项目:国家自然科学基金资助项目(61572175) |
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| 摘要点击次数: 2398 |
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| 中文摘要: |
| 图像拼接可将多张有重叠区域的小图镶嵌成一幅大图，在三维重建、增强现实以及相机应用等多领域有着广泛的应用，受到科研人员和工程机构的一致关注；但当图像缺乏纹理，或者重叠区域较少的时候，现有算法难以得到稳定的拼接效果.针对上述问题，提出了一种快速拼接算法，主要包括2个创新点.第一点，设计了基于金字塔模型的相位相关配准算法，能够处理低重叠率和缺乏纹理的场景，对光照变化不敏感.第二点，设计了新的全局优化模型，能够进一步优化结果，剔除不可靠的参数估计等问题.实验部分证明了本算法精度高、速度快，能够较好的解决低重叠率和弱纹理等问题. |
| 英文摘要: |
| Image mosaicking can transform a series of images to a large-view panorama, which has widely used in medical diagnosis and 3d reconstruction. Confronted with problems of low overlap and sparse texture, A quick mosaicking algorithm for accurate results was proposed. On the one hand, a new phase correlation method was designed based on hierarchical model, which dealt with low overlap and sparse texture well. Further, this algorithm was robust to illumination variation. On the other hand, a global optimization for accurate registration was proposed. This method eliminate unreliable offsets and avoid ghost phenomenon. Experimental results prove the algorithm has high accuracy and speed, which is suitable of image mosaicking with low overlap and sparse texture. |
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