Domini Fulvio, Caudek Corrado
Department of Cognitive and Linguistic Sciences, Brown University, Providence, RI 02912-1978, USA.
Trends Cogn Sci. 2003 Oct;7(10):444-9. doi: 10.1016/j.tics.2003.08.007.
Image movement provides one of the most potent two-dimensional cues for depth. From motion cues alone, the brain is capable of deriving a three-dimensional representation of distant objects. For many decades, theoretical and empirical investigations into this ability have interpreted these percepts as faithful copies of the projected 3-D structures. Here we review empirical findings showing that perceived 3-D shape from motion is not veridical and cannot be accounted for by the current models. We present a probabilistic model based on a local analysis of optic flow. Although such a model does not guarantee a correct reconstruction of 3-D shape, it is shown to be consistent with human performance.
图像运动为深度提供了最有效的二维线索之一。仅从运动线索来看，大脑就能得出远处物体的三维表征。几十年来，针对这种能力的理论和实证研究一直将这些感知解释为投影三维结构的忠实复制。在这里，我们回顾实证研究结果，这些结果表明，从运动中感知到的三维形状并不如实，且当前模型无法解释。我们提出了一个基于光流局部分析的概率模型。虽然这样的模型不能保证正确重建三维形状，但它与人类表现是一致的。
