Laboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, PSL University, CNRS, 75005 Paris, France.
Facebook Reality Labs, Redmond, WA 98052, USA.
Vision Res. 2020 Sep;174:22-40. doi: 10.1016/j.visres.2020.05.005. Epub 2020 Jun 7.
The precision to locate individual features in depth can often be improved by integrating information over space. However, this integration can sometimes be extremely detrimental, as for example in the case of the Westheimer-McKee phenomenon where features are grouped to form an object. We replicate here the known loss of precision in this phenomenon and document an additional loss of accuracy. These detrimental effects are still present when the object is elicited by other principles of organization, including a cross-modal auditory cue. Similar effects of object formation are found on lateral motion sensitivity. We then present a simple probabilistic model based on the integration of estimated depth within an object and propagation of object mean depth and uncertainty back to the elementary features of the object. This propagation of object uncertainty is a hitherto underestimated side-effect of object formation.
通过整合空间信息，往往可以提高对深度中单个特征的定位精度。然而，这种整合有时会产生极其不利的影响，例如在 Westheimer-McKee 现象中，特征会被分组形成一个物体。我们在这里复制了该现象中已知的精度损失，并记录了额外的准确性损失。当物体是由其他组织原则引起的，包括跨模态听觉提示时，这些不利影响仍然存在。在横向运动敏感性上也发现了类似的物体形成效应。然后，我们提出了一个简单的概率模型，该模型基于物体内部估计深度的整合，以及物体平均深度和不确定性的传播回到物体的基本特征。这种物体不确定性的传播是物体形成的一个迄今为止被低估的副作用。
