解决了尺度变化、旋转和平移不变性问题。
Problem on scale-invariance, rotation-invariance and translation-invariance can be solved with this method.
进一步讨论了在保持分派问题最优解不变的情况下，效率矩阵元素的变化范围。
This paper discusses the optimal solution change, after it is changed to elements of efficiency matrix of assigning problem.
为了使这东西保持处于完善的状态，在天气不变的情况下，一定要维持它不变化。请将我刚刚陈述的这段事实去做，关于细节问题，可以参考教材去做。
In order to keep it in good shape, it must remain unchanged under a steady weather pattern. Please follow the statements above. For more details please refer to the textbook.
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.
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.
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