| 物体表面不同角度采集的三维图像配准的一种新算法 |
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| 引用本文： | 衡伟.物体表面不同角度采集的三维图像配准的一种新算法[J].东南大学学报,2005,21(4):411-413. |
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| 作者姓名： | 衡伟 |
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| 作者单位： | 东南大学无线电工程系,南京210096 |
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| 基金项目： | The Technologies Innovation Program of Jiangsu Province （No. 604005067）. |
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| 摘 要： | 提出了一种能有效实现物体表面三维图像数据配准的算法.该算法利用了三维数据采集时的三维点的阵列信息,这些三维点的阵列信息在采集原始三维数据时可以很容易获得,同时,还利用了三维数据矢量/顶点相似特征作为数据匹配的基础.采用迭代最小均方误差算法来自适应优化变换矩阵参数.这些方法可以有效地提高三维图像配准的性能,加快匹配过程的运算速度.实验结果表明该算法可以获得较好的配准后三维图像的主观效果.尽管该方法主要针对人头模型,但经过少许修改后即可适用于其他物体.
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| 关 键 词： | 图像对齐 三维图像 三维采集 图像配准 迭代最小均方误差算法 |
| 收稿时间： | 06 10 2005 12:00AM |
Novel registration algorithm for 3-D images captured from multiple views of object surface |
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| Heng Wei.Novel registration algorithm for 3-D images captured from multiple views of object surface[J].Journal of Southeast University(English Edition),2005,21(4):411-413. |
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| Authors: | Heng Wei |
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| Institution: | Department of Radio Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | A novel algorithm of 3-D surface image registration is proposed.It makes use of the array information of 3-D points and takes vector/vertex-like features as the basis of the matching.That array information of 3-D points can be easily obtained when capturing original 3-D images.The iterative least-mean-squared (LMS) algorithm is applied to optimizing adaptively the transformation matrix parameters.These can effectively improve the registration performance and hurry up the matching process.Experimental results show that it can reach a good subjective impression on aligned 3-D images.Although the algorithm focuses primarily on the human head model,it can also be used for other objects with small modifications. |
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| Keywords: | image alignment 3-D image 3-D capture image registration iterative least-mean-squared algorithm |
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