Vision-Based Registration for Augmented Reality with Integration of Arbitrary Multiple Planes
Vision-Based Registration for Augmented Reality with Integration of Arbitrary Multiple Planes
复制标题
基于视觉的增强现实配准与任意多个平面的集成
DOI：
10.1007/11553595_19
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
H. Saito
中科院分区：
文献类型：
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作者：
Yuko Uematsu;H. Saito
提出了一种新的基于视觉的增强现实中任意多平面融合的配准方法。在我们的方法中，我们估计相机的旋转和平移的未校准的图像序列，其中包括任意多个平面。由于这些平面的几何关系是未知的，为了整合它们，我们为每个平面独立地分配3D坐标系，并构造由两个参考图像的投影几何定义的投影3D空间。通过与投影空间的结合，我们可以使用任意多个平面，并实现对输入图像中每个位置的高精度配准。
We propose a novel vision-based registration approach for Augmented Reality with integration of arbitrary multiple planes. In our approach, we estimate the camera rotation and translation by an uncalibrated image sequence which includes arbitrary multiple planes. Since the geometrical relationship of those planes is unknown, for integration of them, we assign 3D coordinate system for each plane independently and construct projective 3D space defined by projective geometry of two reference images. By integration with the projective space, we can use arbitrary multiple planes, and achieve high-accurate registration for every position in the input images.