Trends Cogn Sci. 1997 Nov;1(8):296-304. doi: 10.1016/S1364-6613(97)01090-5.
This paper examines four current theoretical approaches to the representation and recognition of visual objects: structural descriptions, geometric constraints, multidimensional feature spaces and shape-space approximation. The strengths and weaknesses of the four theories are considered, with a special focus on their approach to categorization - a computationally challenging task which is not widely addressed in computer vision, where the stress is rather on the generalization of recognition across changes of viewpoint.
结构描述、几何约束、多维特征空间和形状空间逼近。考虑了这四种理论的优缺点，特别关注它们在分类方面的方法——这是计算机视觉中一个具有计算挑战性的任务，在计算机视觉中，重点是在视角变化时进行识别的泛化。
