Kurbat M A
Department of Psychology, University of Michigan, Ann Arbor 48109, USA.
Perception. 1994;23(11):1339-68. doi: 10.1068/p231339.
A long-standing problem in structural description theories of object recognition has been the lack of concrete proposals for parts, methods of dividing objects into parts, and relations between parts. Biederman's RBC theory and Hummel and Biederman's JIM model are seminal works because they present one of the first concrete solutions to this very difficult problem: RBC/JIM in turn played a major role in turning object recognition into a burgeoning research area. Here, a review of RBC/JIM as the state-of-the-art structural description theory of recognition is presented. A main conclusion is that there are strong limitations on the scope of objects which RBC/JIM can represent, and hence recognize, because mechanisms for dividing objects into parts and representing parts are not general purpose. Nevertheless, RBC/JIM has promise as a model of geometric object recognition, and there are other directions that may be pursued in the interest of developing a more general-purpose theory.
在物体识别的结构描述理论中，一个长期存在的问题是缺乏关于部件的具体提议、将物体划分为部件的方法以及部件之间的关系。比德曼的RBC理论以及哈默尔和比德曼的JIM模型是开创性的著作，因为它们首次针对这个非常困难的问题提出了具体解决方案之一：RBC/JIM反过来在将物体识别转变为一个蓬勃发展的研究领域中发挥了重要作用。在此，对作为当前最先进的识别结构描述理论的RBC/JIM进行综述。一个主要结论是，RBC/JIM能够表示并因此识别的物体范围存在很大限制，因为将物体划分为部件并表示部件的机制并非通用。尽管如此，RBC/JIM有望成为几何物体识别的模型，并且为了发展更通用的理论，还有其他方向可以探索。
