The Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA.
The Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Vision Res. 2023 Nov;212:108304. doi: 10.1016/j.visres.2023.108304. Epub 2023 Aug 3.
Some animals including humans use stereoscopic vision which reconstructs spatial information about the environment from the disparity between images captured by eyes in two separate adjacent locations. Like other sensory information, such stereoscopic information is expected to influence attentional selection. We develop a biologically plausible model of binocular vision to study its effect on bottom-up visual attention, i.e., visual saliency. In our model, the scene is organized in terms of proto-objects on which attention acts, rather than on unbound sets of elementary features. We show that taking into account the stereoscopic information improves the performance of the model in the prediction of human eye movements with statistically significant differences.
有些动物（包括人类）使用立体视觉，这种视觉通过双眼在两个相邻位置捕获的图像之间的视差来重建关于环境的空间信息。与其他感觉信息一样，这种立体信息预计会影响注意力的选择。我们开发了一种基于生物学的双目视觉模型来研究其对自下而上的视觉注意力（即视觉显著性）的影响。在我们的模型中，场景是根据注意力作用的原对象组织的，而不是根据无界的基本特征集组织的。我们表明，考虑到立体信息可以显著提高模型在预测人类眼球运动方面的性能。
