文件名称:fitzgibbon01c
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [C/C++] [PDF]
- 上传时间:
- 2014-09-09
- 文件大小:
- 345kb
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- 0次
- 提 供 者:
- 刘*
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医学图像配准,医学图像2D_3D配准,基于vc++开发。-This paper introduces a new method of registering point sets. The registration
error is directly minimized using general-purpose nonlinear optimization (the
Levenberg-Marquardt algorithm). The surprising conclusion of the paper is that
this technique is comparable in speed to the special-purpose ICP algorithm which
is most commonly used for this task. Because the routine directly minimizes an
energy function, it is easy to extend it to incorporate robust estimation via a Hu-
ber kernel, yielding a basin of convergence that is many times wider than existing
techniques. Finally we introduce a data structure for the minimization based on
the chamfer distance transform which yields an algorithm which is both faster
and more robust than previously described methods.
error is directly minimized using general-purpose nonlinear optimization (the
Levenberg-Marquardt algorithm). The surprising conclusion of the paper is that
this technique is comparable in speed to the special-purpose ICP algorithm which
is most commonly used for this task. Because the routine directly minimizes an
energy function, it is easy to extend it to incorporate robust estimation via a Hu-
ber kernel, yielding a basin of convergence that is many times wider than existing
techniques. Finally we introduce a data structure for the minimization based on
the chamfer distance transform which yields an algorithm which is both faster
and more robust than previously described methods.
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fitzgibbon01c.pdf