affine invariant的意思

affine invariant中文翻譯：

仿射不變性

相似詞語短語

affine───n.姻親；adj.（數）仿射的

affine meaning───仿射意義

affine set───仿射集

affine shift───仿射移位

invariant features───不變特征

affine layer───仿射層

invariant dc───不變直流電

affine space───[數]仿射空間

invariant geometry───不變幾何（學）

雙語使用場景

The paper shows that the revised depth is of affine invariant besides the properties owned by the original depth.───了新的數據深度在保持原深度其他性質的基礎上，把原深度的正交不變性改進為仿射不變。

The representation has no weight factors or control parameters, and it is geometric and affine invariant.───該表示形式中沒有權因子和額外的控制參數，而且具有幾何不變性、仿射不變性等良好性質。

The representation has no weight factors or control parameters, and it is geometric and affine invariant .───該方法將平面上的一段圓弧曲線表示為參數復有理函數的形式。

Therefore, the study and implementation of the affine invariant corner detector are of great significance in both theory and application.───因此，仿射不變角點檢測算法的研究與實現在理論和應用方面都具有重要意義。

In this paper, affine invariant points of original and probe image are computed to estimate the geometric parameters.───本文采用仿射不變特征點匹配方法估計圖像所經歷的幾何變換參數，其中特征點匹配通過遺傳算法實現。

We select the RANSAC algorithm based on affine invariant as the coarse registration algorithm.───選擇基于仿射不變量的RANSAC配準算法，作為粗配準算法。

Finally, this paper proposes an extension of LDA, affine invariant topic model(AITM), and applies AITM to object recognition.───接著本文提出了LDA一種的擴展模型――仿射不變的主題模型（AITM），并且應用到物體識別問題。

First we extract color moments, texture features and affine invariant moments from the 2D view images of 3D objects.───首先從三維物體的二維視圖中提取顏色矩、紋理特征和仿射不變矩。

The Proof of a Class of Important Affine Invariant───一類重要仿射不變量之證明

英語使用場景

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.