One is to find the invariant features through learning.
一个方面是通过学习发现字符的不变特征。
A face recognition method based on discrete Fourier invariant features is presented.
给出了一种基于离散傅里叶不变特征的人脸识别方法。
Extracting or construction of the invariant features is one of the key technologies in the field of pattern recognition and computer vision.
图像不变量特征的提取与构造是模式识别和计算机视觉领域中的关键技术之一。
Then according to the properties of discrete Fourier transform, it deduces the discrete Fourier invariant features that are employed on facial image recognition.
依据离散傅里叶变换性质，推导出离散傅里叶变换的不变特征，并将其用于人脸图像识别。
A novel topological map is proposed in this paper, and its nodes are represented with the visual scale-invariant features and the beam features of the laser range finder.
提出了一种新型拓扑地图；该地图用激光的扇区特征和视觉的比例不变特征来联合表示节点。
A novel topological map is proposed in this paper, and its nodes are represented with the visual scale-invariant features and the beam features of the laser range finder.
该地图用激光的扇区特征和视觉的比例不变特征来联合表示节点。
For boosting up the feature's discriminating ability, both scale invariant features and kernel based color distribution features are used as descriptors of tracked object.
为增强跟踪算法区分目标的能力，算法将尺度不变特征和基于核的颜色分布特征统一用作目标的跟踪特征。
This paper analyses the influence of scale factor on moment invariant features in discrete, constructs a new moment invariant with both scale, translation and rotating invariance.
分析了在离散状态下比例因子对不变矩特征的影响，构造了一种新的不变矩，使其具有平移、旋转和比例因子的不变性。
Those salient regions are represented by 3 invariant features of gradient orientation, moment and canonical hue. They are used for scene recognition in terms of their match ratio.
对场景图像中的显著区域采用梯度方向、二阶不变矩、归一化色调3种特征进行不变性表示，并根据其匹配率实现场景识别。
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.
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。
The color features which are irrespective to the light and can portray physical surface reflect properties that extracted in the image search process named color Invariant Descriptor.
在图像检索过程中提取与光照无关的、能够刻画物体表面物理反射特性的颜色特征，被称为颜色不变性描述。
Invariant corner features are often used in pattern recognition.
拐点特征是模式识别中经常用到的一类不变量。
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.
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。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
It is an effective method to use the invariant moment features for target recognition.
利用图像的不变矩特征进行目标识别是一种有效的方法。
As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points.
由于SIFT特征对旋转和缩放具有不变性，该算法利用SIFT提取图像的特征点。
A fingerprint is unique, invariant and it is easy to obtain. All these notable features make fingerprint verification the maturest technique in biometric identification field.
指纹所具有的唯一性、不变性、易于获取等特性使得指纹识别成为生物鉴定学中的最为成熟的方式。
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 3d geometric features can provide more information for recognition than 2d images and some measured features is invariant of transformation, rotation and scale.
三维几何特征能够提供比二维图像更加丰富的信息，其中部分标准化处理后的特征还具有平移、旋转和缩放不变性。
The approach provides effective features for identification using the order scales extracted by scale invariant feature transform.
利用尺度不变量变换，提取逆合成孔径雷达二维像的尺度信息，并按照从大到小的顺序重新排列，称为顺序尺度。
The approach provides effective features for identification using the order scales extracted by scale invariant feature transform.
利用尺度不变量变换，提取逆合成孔径雷达二维像的尺度信息，并按照从大到小的顺序重新排列，称为顺序尺度。
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