中文说明：概述 此示例显示了检测基于某个特定对象的一种算法上找点之间的引用和目标图像的对应关系。 它可以检测尽管规模变化或平面中旋转对象的。它也是鲁棒到少量的面外旋转和闭塞。 此方法的对象检测工作最好的陈列的对象 非重复纹理模式，这会引起独特的功能匹配。 这种技术是不可能工作很好对于均匀上色的对象， 或对象包含重复图案。 此示例演示如何检测一个杂乱的场景中的特定对象鉴于对象的参考图像。
English Description：
Overview This example presents an algorithm for detecting a specific object based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to small amount of out-of-plane rotation and occlusion. This method of object detection works best for objects that exhibit non-repeating texture patterns, which give rise to unique feature matches. This technique is not likely to work well for uniformly-colored objects, or for objects containing repeating patterns.&