实验结果表明，该算法具有旋转不变性，对异常值和非线性问题具有稳定性，且正确识别率较高。
Experimental result shows that the algorithm is invariant to rotations and robust to outliers and nonlinear problems, and it has higher correct recognition rate.
该算法检测速度快、精度高，而且具有旋转不变性，有效的解决了基于直角坐标的检测算法的不足。
This algorithm has many advantages, such as fast detection speed, high accuracy and rotation invariance. It resolves the disadvantage of the detection algorithm based on rectangular coordinates.
构建了一种新的局部梯度方向直方图，同时定义了特征点的主方向，从而提出了一种具有旋转不变性的图像配准算法。
A novel gradient orientation histogram was built using a Gaussian-weighted circular window and a major orientation to each feature point was assigned based on local image properties.
该方法利用具有旋转不变性的径向特征作初始匹配，而以环向特征作后续匹配，并用FOV约束进一步剔除冗余匹配。为了加快匹配搜索的速度，采用查找表的方式构建径向模式库。
With radial features with cyclic invariance as initial match and cyclic features as follow-up match, the algorithm applies FOV constrain to further eliminating redundant match.
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。
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.
因此，需要寻找一种具有旋转和比例不变性的图像识别方法，以满足实际应用中的需要。
So a method of image recognition with rotation and scale invariance is required to satisfy the practical application.
拓扑性质具有对图形的平移、伸缩、旋转的不变性。
The topological properties for translation, rotation and scale is invariant pattern recognition.
预处理过程中对虹膜的精确定位，使定位后的虹膜图像具有平移、尺度和旋转的不变性。
Precision locating for iris in the process of preprocessing makes iris image have invariance in translation, size and rotation.
为了表示的图像的空间分布信息，一种疾病的矩阵，其具有的图像内容的旋转和平移的不变性，已被设计。
In order to represent the spatial distribution information of image, a disorder matrix, which has the invariance to the rotation and translation of the image content, has been designed.
且获得的图像特征描述符具有旋转、平移、尺度不变性等优点，能够很好地描述图像的形状和空间分布信息。
And the image feature descriptor has a rotation, translation, scaling invariance, etc. it can be a very good to describe the shape and spatial distribution of information.
实验证明，该方法具有良好的平移、缩放、旋转和镜像不变性，得到的检索结果能很好地符合人的视觉感受。
Experiment results show that this method can keep good invariance under translation, rotation, scale and mirror, and the retrieved results match human visual perception very well.
采用图像分块的局部直方图方法考虑了颜色的位置信息，但却不具有旋转、平移不变性。
The local histogram partitioning an image into regions takes the spatial features into account, but fails to find rotated or translated images that are similar to query images.
微分不变量具有平移和旋转不变性，并且对噪声具有较强的鲁棒性。
The differential invariants are robust to the noise and also invariant to the translation and rotation.
该算法对数字城市中序列图像匹配具有光照强度、平移、旋转不变性。
This method is effective on brightness invariant, movement invariant and rotation invariant in the matching of digital city image sequences.
实验结果表明，圆周积分投影和圆周梯度积分投影曲线具有良好的旋转和尺度不变性。
The experimental result shows that the curves corresponding to circular integral projecting and circular grads integral projecting own excellent steadiness when target rotates and flexes.
基于归一化频谱相关模型，对物体平移和旋转后的基频模进行了理论分析和实验论证，得出了物体基频模具有平移不变性的特性。
The theoretical model was established in detail, the properties of rotation and shift were theoretically and practically analyzed to conclude its shift invariant speciality.
实验结果证实了该算法角点定位的准确性、旋转不变性，具有一定的尺度不变性和抗噪声能力。
Experiments are performed to show that the proposed algorithm can locate corners accurately, is rotationally invariant, has scale invariant property and is insensitive to noise contamination.
实验证明，算法对图像的亮度变化、缩放、旋转具有不变性，有较高的检索性能。
Experimental results show that the algorithm has the robustness against illumination changes, position translation, scale and rotated image and a superior image-retrieving performance.
实验表明，提出的描述子具有更好的旋转不变性。
Experiments show that our descriptor outperformed the conventional descriptor in rotational invariants.
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。
As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points.
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 3d geometric features can provide more information for recognition than 2d images and some measured features is invariant of transformation, rotation and scale.
人耳的角度变化和遮挡是人耳识别中的难点问题，SIFT局部描述算子具有对图像尺度缩放、平移、旋转等的不变性，因此提出利用SIFT特征的人耳识别算法。
The variety of ear angle and occlusion are the difficulties of ear recognition. The Scale Invariant Feature Transform(SIFT) is invariant to image scaling, translation and rotation.
不变矩是模式识别中的一种重要方法，它具有平移不变性、比例不变性和旋转不变性等优点。
Invariant moments are important measure in the pattern recognition. Invariant moments are independent of position, scale and orientation.
不变矩是模式识别中的一种重要方法，它具有平移不变性、比例不变性和旋转不变性等优点。
Invariant moments are important measure in the pattern recognition. Invariant moments are independent of position, scale and orientation.
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