目的提出一种对三维物体进行旋转不变识别的新方法。
Aim a novel method for three-dimensional (3-d) object rotation-invariant recognition is proposed.
本文提出一种基于莫尔条纹的三维物体旋转不变识别方法。
In this paper a method of the three-dimensional object recognition with rotation-invariant based on moire fringe is proposed.
提出一种改进的维纳滤波器(WF)模型，用训练图像的均值合成维纳滤波传递函数中的参考函数，使WF具有了旋转不变识别的能力。
A modified Wiener filter (WF) model was proposed in which the reference term of WF's transfer function was synthesized using the mean of training images.
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.
矩不变量在图像进行平移、旋转和尺度变换时保持定值，因此被广泛使用在目标识别、图像分类、图像压缩和场景匹配等各种领域。
The invariable moment, which is invariable to the translation, scaling and rotation of image, is widely used in object recognition, image classification, image condensation, scene matching and so on.
事实上，某些图像识别任务碰到的图像位移、尺寸、旋转不变性问题，本系统可容易地予以解决。
In fact, the image shift, scale, rotation invariance problems encountered in some pattern recognition tasks can easily be solved in this system.
匹配结果表明，MEC具有平移、旋转和尺度不变的特性，在图像识别过程中取得了满意的效果。
The results present that MEC has the invariance of translation, rotating and scaling, and the satisfied effects are acquired.
提出了振幅位相合成圆谐滤波器用于旋转不变模式识别。
The rotation invariant amplitude phase composite circular harmonic filter (CHF) is proposed.
用这种滤波器实现了平移、旋转、尺度三重不变光学图像识别，且有较高的信噪比。
By this filter, the shift, scale and rotation invariant optical pattern recognition was realized with a high signal noise ratio of correlation output.
实验证明，本文方法具有较高的识别率，且该算法是平移、旋转和比例变化不变的。
Experiments show that the algorithm has high correct recognition ra (?) IO, and is invariant to translation, rotation and scale.
寻找相对于平移、尺度、旋转、扭曲不变的仿射不变量是现今多尺度分析在模式识别中应用的关键性问题。
It's a key problem to search for affine invariant with respect to translation, scaling, rotation and skewing in multi-resolution analysis.
介绍一种在体全息相关识别中实现旋转不变性和位移不变性的一种简便方法。
Based on the volume holographic storage, a novel and easy method is proposed to realize rotation and shift invariance in pattern recognition system.
文章提出了一种平移、旋转及尺度不变光学神经网络识别系统方案。
A shift, rotation and scale invariant neural network is proposed in this paper.
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.
针对字符串的特点，提出了基于旋转投影不变矩识别字符的方法。
Character strings are identified based on rotating projection without invariant moment.
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.
算法不仅能适应目标物体在旋转、缩放、平移变换下的不变性识别。而且能适应仿射及射影变换下的不变性识别。
The algorithm can adapt to object recognition, invariant not only under rotation? Scaling? Translation, but under affine and projective transformation.
因此，本文实现虹膜旋转不变性的方法不会增加虹膜识别系统的计算复杂度，同时实现了优秀的旋转不变性。
So, in our methods, the complexity of the methods are not increased, and the error rates of the methods may never increase, no matter how much the iris rotate.
因此，本文实现虹膜旋转不变性的方法不会增加虹膜识别系统的计算复杂度，同时实现了优秀的旋转不变性。
So, in our methods, the complexity of the methods are not increased, and the error rates of the methods may never increase, no matter how much the iris rotate.
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