affine invariant发音

意思翻译

仿射不变性

相似词语短语

affine───n.姻亲；adj.（数）仿射的

affine meaning───仿射意义

affine set───仿射集

affine shift───仿射移位

invariant features───不变特征

affine layer───仿射层

invariant dc───不变直流电

affine space───[数]仿射空间

invariant geometry───不变几何（学）

双语使用场景

The paper shows that the revised depth is of affine invariant besides the properties owned by the original depth.───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 representation has no weight factors or control parameters, and it is geometric and affine invariant.───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 .───该方法将平面上的一段圆弧曲线表示为参数复有理函数的形式。

Therefore, the study and implementation of the affine invariant corner detector are of great significance in both theory and application.───因此，仿射不变角点检测算法的研究与实现在理论和应用方面都具有重要意义。

In this paper, affine invariant points of original and probe image are computed to estimate the geometric parameters.───本文采用仿射不变特征点匹配方法估计图像所经历的几何变换参数，其中特征点匹配通过遗传算法实现。

We select the RANSAC algorithm based on affine invariant as the coarse registration algorithm.───选择基于仿射不变量的RANSAC配准算法，作为粗配准算法。

Finally, this paper proposes an extension of LDA, affine invariant topic model(AITM), and applies AITM to object recognition.───接着本文提出了LDA一种的扩展模型――仿射不变的主题模型（AITM），并且应用到物体识别问题。

First we extract color moments, texture features and affine invariant moments from the 2D view images of 3D objects.───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。

The Proof of a Class of Important Affine Invariant───一类重要仿射不变量之证明

英语使用场景

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.

An improved image recognition and registration algorithm based on convex hull and affine invariant was presented.

The charaters after affine transformation can also be recognized by a dyadic wavelet affine invariant function.

Establishing affine invariant similarity measure of shapes is one of the basic problems in pattern recognition, computer vision and image understanding domains.