Experimental results show that the method keeps up with the object appearance and scale changes, and is robust under the influence of occlusion and illumination factors, etc.
大量视频序列测试的结果表明，在场景遮挡、光照变化等因素的影响下，算法能够对目标外观以及尺度的变化进行稳健、实时和有效的跟踪。
The experimental results show that it greatly improves the efficiency of stitching and can achieve good performance for images with rotation, scale, viewpoint and illumination change.
实验结果验证了该算法的高效性，对存在旋转、尺度缩放、视角以及光照变化的图像都具有良好的效果。
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。
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