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.
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.
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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