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.
选择基于仿射不变量的RANSAC配准算法，作为粗配准算法。
We select the RANSAC algorithm based on affine invariant as the coarse registration algorithm.
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.
本论文将要研究的一种仿射不变本征蛇模型就是从增强模型搜索能力方面进行研究的。
In this thesis, we will study an Affine-Invariant EigenSnake model (AIES), which improved the model's searching ability.
本文提出一种新的三维仿射不变量，基于此不变量构造一种鲁棒的三维模型盲水印算法。
We propose a new 3D affine invariant in the paper, and a blind watermarking scheme for 3D models is built with this invariant.
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.
建立仿射不变的形状相似性度量是模式识别、计算机视觉和图象理解领域中的基本问题之一。
Establishing affine invariant similarity measure of shapes is one of the basic problems in pattern recognition, computer vision and image understanding domains.
该表示形式中没有权因子和额外的控制参数，而且具有几何不变性、仿射不变性等良好性质。
The representation has no weight factors or control parameters, and it is geometric and affine invariant.
提出了一种用于图像分割的分段可变形模型，并在模型的能量函数中引入了仿射不变量信息。
A segmental deformable model for image segmentation was presented and affine invariants were introduced into the model's energy function.
本文提出了一种基于几何仿射不变量和亮度不变量的缺失摄像机标定参数图像的立体匹配方法。
In this paper, a stereo matching method for image uncalibrated camera parameter is proposed, which is based on geometric affine invariant and photometric invariant.
证明了新的数据深度在保持原深度其他性质的基础上，把原深度的正交不变性改进为仿射不变。
The paper shows that the revised depth is of affine invariant besides the properties owned by the original depth.
构造了一组新的仿射不变矩（MSA矩），分析了其性质，给出了它的明确表达式及其具体实现方法。
A new kind of affine transform——multiscale autoconvolution transform is established, a new invariant moments to call it MSA moments is constructed, and its implementation is given.
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...
寻找相对于平移、尺度、旋转、扭曲不变的仿射不变量是现今多尺度分析在模式识别中应用的关键性问题。
It's a key problem to search for affine invariant with respect to translation, scaling, rotation and skewing in multi-resolution analysis.
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.
首先，利用二进小波变换检测建筑物边缘，然后通过计算基于小渡的仿射不变量识别建筑物，最后构建了建筑物轮廓模式数据库。
Firstly, dyadic wavelet was used to extract the edge, and then buildings were recognized by computing the affine invariants, In addition, a building recognition pattern database was constructed.
实验表明，改进后的算法继承了SIFT算法对图像缩放、旋转等不变性，而且增强了图像对视角的仿射不变性，极大地改善了匹配效果。
The experimental results show that this algorithm is as robust as SIFT, but also acquires good performance on affine invariance of view point change, improves matching results greatly.
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.
提出了在图象匹配中使用的一些新的仿射透视近似投影不变量。
This paper proposes some new affine-perspective approximate invariants that are used in image matching.
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.
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.
仿射变换下的点模式匹配和参数估计是计算机视觉中的重要研究课题，其关键是寻找对仿射变换不变的不变量。
Matching and parameter estimation of two point-patterns under an affine transform is a very important research topic in the field of computer vision.
算法不仅能适应目标物体在旋转、缩放、平移变换下的不变性识别。而且能适应仿射及射影变换下的不变性识别。
The algorithm can adapt to object recognition, invariant not only under rotation? Scaling? Translation, but under affine and projective transformation.
这个功能实现了模糊图像梯度点的局部变化的部分不变性，如仿射或三维投影。
The features achieve partial invariance to local variations, such as affine or 3D projections, by blurring image gradient locations.
这个功能实现了模糊图像梯度点的局部变化的部分不变性，如仿射或三维投影。
The features achieve partial invariance to local variations, such as affine or 3D projections, by blurring image gradient locations.
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