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Differences between the actual scene model and the image model for computation of visual depth information of early vision

机译:实际场景模型与图像模型之间的差异,用于计算早期视觉的视觉深度信息

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In this paper, we introduced two viewing modes, "Scene Mode" and "Picture Mode", for early visual depth perception depending on the dimensions of the object being viewed. The essential difference between these two modes of visual depth perception is still unclear. We discuss the basic methods of introducing a three-dimensional Cartesian system into a plane to express the depth information of an image, estimate the loss of depth information caused by this approach, and provide an analysis of the important role of providing depth information based on size constancy and vanishing point in the two viewing modes. We studied the problem of how the retina and visual cortex separate the plenoptic (all-optical) function, which is the input representation of vision, by neural computing in scene mode. We also studied the problem of how to extract information about the position and angle of light beams in the light field, and then determined the output representation of the visual depth perception. In the absence of any stereoscopic cues, such as texture, gradient, shade, shadow, color, occlusion, and binocular disparity, we compare the main differences of visual depth perception between scene mode and picture mode using a cube being viewed and its line drawing, which respectively represent the two modes.
机译:在本文中,我们介绍了两种查看模式,即“场景模式”和“图片模式”,用于根据被查看对象的尺寸进行早期视觉深度感知。这两种视觉深度感知模式之间的本质区别仍不清楚。我们讨论了将三维笛卡尔系统引入平面以表达图像的深度信息,估计由该方法引起的深度信息损失的基本方法,并提供了基于以下内容的提供深度信息的重要作用的分析:两种观看模式下的尺寸恒定性和消失点。我们通过场景模式中的神经计算研究了视网膜和视觉皮层如何分离全光(全光)功能(即视觉的输入表示)的问题。我们还研究了如何提取有关光束在光场中的位置和角度的信息,然后确定视觉深度感知的输出表示的问题。在没有任何立体提示(例如纹理,渐变,阴影,阴影,颜色,遮挡和双目视差)的情况下,我们使用正在查看的多维数据集及其线条图来比较场景模式和图片模式之间视觉深度感知的主要差异,分别代表两种模式。

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