Haraguchi Fumiya, Hisakata Rumi, Kaneko Hirohiko
Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan.
Iperception. 2024 Jan 9;15(1):20416695231224138. doi: 10.1177/20416695231224138. eCollection 2024 Jan-Feb.
We can correctly recognize the content of an image by presenting all of the elements within a limited time, such as in a slit view or a divided painting image. It is important to clarify how temporally divided information is integrated and perceived to understand the temporal properties of the information-processing mechanism of visual systems. Previous studies related to this topic have often used two-dimensional pictorial stimuli; however, few have considered the temporal integration of binocular disparity for the recognition of objects defined with disparity. In this study, we examined image recognition properties based on the temporal integration of binocular disparity, by comparing that based on the temporal integration of luminance. The effect of element onset asynchrony (the time lag among presented elements) was somewhat similar between disparity and luminance with respect to randomly divided elements. On the other hand, under slit-vision conditions, the tolerance range of spatiotemporal integration for luminance stimuli was much wider than that for disparity stimuli. These results indicate that the temporal integration mechanism in localized areas is common to disparity and luminance, but that for global motion shows differences between the two mechanisms. Thus, we conclude that global motion has little contribution to the temporal integration of binocular disparity information for image recognition.
我们可以通过在有限时间内呈现图像中的所有元素来正确识别图像内容,比如在狭缝视图或分割绘画图像中。明确时间上分割的信息是如何整合和被感知的,对于理解视觉系统信息处理机制的时间特性很重要。之前与该主题相关的研究通常使用二维图像刺激;然而,很少有研究考虑双目视差的时间整合对具有视差定义的物体识别的影响。在本研究中,我们通过比较基于亮度时间整合的图像识别特性,研究了基于双目视差时间整合的图像识别特性。对于随机分割的元素,元素起始异步(呈现元素之间的时间延迟)在视差和亮度方面的影响有些相似。另一方面,在狭缝视觉条件下,亮度刺激的时空整合容忍范围比视差刺激的要宽得多。这些结果表明,局部区域的时间整合机制在视差和亮度方面是相同的,但对于全局运动,两种机制存在差异。因此,我们得出结论,全局运动对用于图像识别的双目视差信息的时间整合贡献很小。