提出一种新的基于仿射几何的仿射不变特征提取方法，适合于目标的识别和图像的匹配。
A new affine invariants based on affine geometry for object recognition and matching is proposed in the paper.
为了实现长基线图像特征点的立体匹配，提出了一种新的基于特征点仿射变换不变性的匹配算法。
In order to provide the feature points stereo matching between two wide baseline images, a novel algorithm based on affine invariant feature of the feature points is proposed.
提出一种快速、有效的图家匹配算法，算法中采用的特征矢量具有RST不变性，可以对发生仿射变换的图象直接进行特征匹配。
The feature vector in the algorithm is RST invariant, which makes the feature matching operate directly on the image having geometry switch.
该算法使用角作为图像匹配选取的特征，通过仿射不变处理，消除图像缩放、扭曲、旋转和平移等变化产生的影响，提高了特征匹配的精度和正确匹配率。
It selected corners as features, removed influence of image stretch, skew, rotation, and translation by calculating affine invariant, so matching accuracy and speed were improved.
提出了一种基于局部仿射不变量特征的宽基线影像匹配算法。
A novel algorithm based on local affine invariants was proposed for searching correspondences between images in the most general case.
首先从三维物体的二维视图中提取颜色矩、纹理特征和仿射不变矩。
First we extract color moments, texture features and affine invariant moments from the 2D view images of 3D objects.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
为解决三维场景重建问题，通过改进目前特征匹配的不足，提出了一种基于角仿射不变的特征匹配算法。
To solve the problem of 3-dimensional scene reconstruction, and to improve the performance of present feature point matching, a matching scheme which is invariant to perspective deformation induced...
为解决三维场景重建问题，通过改进目前特征匹配的不足，提出了一种基于角仿射不变的特征匹配算法。
To solve the problem of 3-dimensional scene reconstruction, and to improve the performance of present feature point matching, a matching scheme which is invariant to perspective deformation induced...
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