1) affine invariant detector
仿射不变检测器
1.
The comparison with other affine invariant detectors was demonstrated as result.
为了评估本算法的鲁棒性,进行了不同视角的真实图片与合成图片的实验,并与其他现有的仿射不变检测器进行了比较。
2) affine invariance
仿射不变
1.
The affine invariance is a challenging problem in pattern recognition.
仿射不变模式识别是模式识别问题中的一个难点问题,本文提出了一种基于全局特征的仿射不变特征提取方法。
3) affine invariant
仿射不变
1.
For the purpose of wide baseline stereo image matching, a filter strategy of affine invariant feature based on information content and spatial distribution constraints is put forward.
针对宽基线影像匹配问题,提出基于信息量和空间分布均衡性双重约束的多层次特征筛选方法,并在此基础上探讨集成该特征筛选方法、MSER(Maximally Stable Extremal Region detector)、SIFT(Scale Invariant Scale Transformation)的特征提取算法,以达到提取高质量(高信息量、空间分布均衡、高重复率)仿射不变特征的目的。
2.
The paper shows that the revised depth is of affine invariant besides the properties owned by the original depth.
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。
3.
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。
4) affine moment invariants
仿射不变矩
1.
Auto-recognition of shaft orbits using affine moment invariants;
基于仿射不变矩的轴心轨迹自动识别方法
2.
In the 3D object recognition system,this paper presents to combine the lower order of Hu’s moment invariants and affine moment invariants together as features of 3D objects,then these features are presented to the modified BP neural network for 3D object recognition.
在三维物体识别系统中,提出将三维物体的Hu不变矩和仿射不变矩两者的低阶矩组合作为三维物体的特征,结合改进的BP神经网络应用于三维物体的分类识别。
5) affine invariant
仿射不变量
1.
Improved image recognition and registration algorithm based on convex hull and affine invariant;
改进的基于凸壳仿射不变量的图像识别和配准算法
2.
In this paper,after studied the traditional based on the geometric invariant and based on the 3D/2D constraints to recognition the 3D object,A new space geometric model was proposed,and the relations between the 3Daffine invariants and 2Daffine invariants was presented.
在研究了传统的基于几何不变量和基于3D/2D约束关系两种识别方法的基础上,提出了1类新的空间几何结构模型,并计算出了这类模型3D仿射不变量和其对应的2D仿射不变量之间的约束关系。
3.
At last,we use these feature regions to construct affine invariants,based on affine geometry invariant property.
利用仿射区域划分获取一组扩展质心集合作为图像特征点集;求解特征点集的凸包,根据扩展质心的性质将凸包顶点均匀组合成若干特征区域;利用仿射几何性质构造了有效的仿射不变量。
6) affine invariants
仿射不变量
1.
Furthermore, augmented reality based on affine invariants as well as its research method and application background is discussed, and thus the fusion between virtual objects and reality image is realized.
首次提出了扩充现实技术在水利工程中的应用 ,讨论了基于仿射不变量的扩充现实及它的研究方法和应用背景 ,实现了虚拟物体与现实图像的融合。
2.
affine invariants.
为了对仿射变形的物体进行有效和正确的识别,构造了一种新的仿射不变量。
3.
A segmental deformable model for image segmentation was presented and affine invariants were introduced into the model’s energy function.
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。
补充资料：仿射
仿射
affinity
仿射!确nity;呻中Ifu盯er] 仿射变换陌币ne transfo瓜atlon)的简称定义为非退化线性代换 二A派丰“
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条