Leeuwenberg E, Van der Helm P, Van Lier R
Nijmegen Institute for Cognition and Information, Department of Experimental Psychology, University of Nijmegen, The Netherlands.
Perception. 1994;23(5):505-15. doi: 10.1068/p230505.
Two models of object perception are compared: recognition by components (RBC), proposed by Biederman, and structural information theory (SIT), initially proposed by Leeuwenberg. According to RBC a complex object is decomposed into predefined elementary objects, called geons. According to SIT, the decomposition is guided by regularities in the object. It is assumed that the simplest of all possible interpretations of any object is perceptually preferred. The comparison deals with two aspects of the models. One is the representation of simple objects--various definitions of object axes are considered. It is shown that the more these definitions account for object regularity and thus the more they agree with SIT, the better the object representations predict object classification. Another topic concerns assumptions underlying the models: the identification of geons is mediated by cues which are supposed to be invariant under varying viewpoints of objects. It is argued that such cues are not based on this invariance but on the regularity of actual objects. The latter conclusion is in line with SIT. An advantage of RBC, however, is that it deals with the perceptual process from stimulus to interpretation, whereas SIT merely concerns the outcome of the process, not the process itself.
由比德曼提出的基于部件的识别模型（RBC）和最初由李文伯格提出的结构信息理论（SIT）。根据RBC模型，复杂物体被分解为预定义的基本物体，即geons。根据SIT模型，分解是由物体的规则性引导的。假定在所有可能的物体解释中，最简单的解释在感知上更受青睐。本比较涉及这两种模型的两个方面。一个是简单物体的表征——考虑了物体轴的各种定义。结果表明，这些定义对物体规则性的解释越充分，因而与SIT模型的契合度越高，物体表征对物体分类的预测就越好。另一个主题涉及模型所依据的假设：geons的识别由线索介导，这些线索在物体的不同视角下应保持不变。有人认为，此类线索并非基于这种不变性，而是基于实际物体的规则性。后一结论与SIT模型一致。然而，RBC模型的一个优点是它涉及从刺激到解释的感知过程，而SIT模型仅关注该过程的结果，而非过程本身。
