这是我毕业设计的一个环节，要翻译英文文献，我一段段的贴上来，请高手帮忙翻译，分随便拿，不要机器翻的啊，起码要语句通顺。
An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection.These features share similar properties with neurons in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric
deformations by representing blurred image gradients in multiple orientation planes and at multiple scales.The keys are used as input to a nearest-neighbor indexing method that identifies candidate object matches. Final verification of each match is achieved by finding a low-residual least-squares solution for the unknown model parameters.Experimental results show that robust object recognition can be achieved in cluttered partially-occluded images with
a computation time of under 2 seconds.

一种使用新一类局部图像特征的物体识别系统已经被开发。这个特征在图像缩放、转换、光照变化的部分不变、仿射或三维投影中是不变的。这些特征与在颞下皮层实现灵长类的视觉识别的神经元有着相似的性质。特点是通过分级过滤的方法来有效地检测，在尺度空间中确定稳定点。通过多方向平面和多尺度描绘模糊的图像梯度创建图像键来使局部几何变形。这些键被用作输入邻近索引的方法来确定候选对象匹配。每次匹配的最后结果实现了对未知模型参数的低残余最小乘方解的查询。最终结果表明，鲁棒物体识别能够用杂波闭塞图像在不到2秒的时间内被实现。