What is the translation of " 人类视觉系统 " in English?

• human visual system

Examples of using 人类视觉系统 in Chinese and their translations into English

人类视觉系统是世界上众多奇迹之一。
The human visual system is one of the wonders of the world.

我们先了解一下人类视觉系统是如何运行的。
So we have to understand how the human visual system works.

此外，人类视觉系统具有很强的适应性。
The human visual system is wonderfully adaptive.

与人类视觉系统相似，深度学习网络是「深度」的，因为它们包含层叠的层次结构。
Similar to the human visual system, deep learning networks are“deep” in that they contain a hierarchical cascade of layers.

机器能够模拟人类视觉系统」的幻想已经过时了。
The fantasy that a machine is capable of simulating the human visual system is old.

这表明人类视觉系统依赖于一些与神经网络相同的粗糙模式匹配技术。
This suggests that the human visual system relies on some of the same crude pattern-matching techniques that neural networks do.

人类视觉系统是非凡的，放射科医生学习记住非常复杂的模式，并运用它们来进行临床决策和诊断。
The human visual system is remarkable and radiologists learn and remember very complex patterns and use them every day to make clinical decisions and diagnoses.

接下来，他深入研究设计原则，讨论如何利用人类视觉系统帮助用户直观地看到他们需要什么。
Next, he digs into design principles, discussing how to leverage the human visual system to help users intuitively see what they need.

然而，这张图并未真实反映人类视觉系统的敏感性。
However, this diagram does not truly reflect the sensitivity of the human visual system.

从工程学角度来看，机器视觉着力赋予机器自动执行人类视觉系统所能做的工作的能力。
From the perspective of engineering, it seeks to automate tasks that the human visual system can do.

很多研究人员正在开发更接近人类视觉系统的神经网络。
Various researchers are developing neural networks that resemble the human visual system ever more closely.

不过，在讨论这些错觉之前，我们首先要回忆一下人类视觉系统是怎样处理颜色的。
Before we begin our discussion of these illusions, however, we need to recall how the human visual system processes color.

作为进步optobionics，如此复杂的人类视觉系统的科学的认识。
As optobionics advances, so does science's understanding of the complex human visual system.

所幸，对颜色错觉的现行研究会继续为我们提供揭示人类视觉系统复杂性的方便之门。
Fortunately, ongoing work on illusory colors will continue to offer a tantalizing portal into the complexities of the human visual system.

如前所示，计算机视觉的目标是模仿人类视觉系统的工作方式。
As mentioned earlier in this guide, the goal of computer vision is to mimic the way the human visual system works.

在公元2000年，研究人员开发了一个更新版本的色差公式，以真实反映人类视觉系统的感知。
In 2000, researchers developed a newer version of the color difference formula to truly reflect what the human visual system perceives.

这并不容易，因为机器视觉系统和人类视觉系统间存在重大差异。
They may not be easy, because there are crucial differences between machine-vision systems and the human visual system.

一个伟大的数据可视化应该利用人类视觉系统的这些优势来显示数据，以便易于吸收和理解。
A great data visualization should leverage these strengths of the human visual system to display data so that it can be readily absorbed and understood.

绝对误差与黄金影像之比可能不是衡量人类视觉系统感知误差的最佳方法。
The absolute error versus a golden image might not be the best technique for measuring the perceived error by the human visual system.

D成像依赖于立体摄影，我们可以从熟悉的来源观察：人类视觉系统。
D imaging relies on stereography, which we can observe from a familiar source: The human vision system.

在虚拟现实设备中，一个虚拟的3D世界显示在2D屏幕上，这会给人类视觉系统带来压力。
In a VR device, a virtual three-dimensional world is displayed on a 2D screen and that places strain on the human visual system.

因此，在1976年，UV色度图被提上台面，用于反映人类视觉系统的感觉。
As a result, in 1976, the u' v' chromaticity diagram was proposed to reflect the sensation of the human visual system.

这是我们首次成功地直接刺激人类视觉系统。
This is the first time that we have succeeded in stimulating parts of the human visual system directly.”.

人类视觉系统一般採納面部整体。个人对平均值的偏见。比較平均的面孔顯得更具吸引力，这可能由于“没有吸引力的特质的襯托”。
The human visual system takes"ensemble representations" of faces in a group. Perception of individuals is biased towards this average. Average faces are more attractive, perhaps due to"averaging out of unattractive idiosyncracies".

因此，人类视觉系统的发展不是通过成批的处理，而是通过一套系统、有序的视觉体验课程来完成的，这套课程是通过婴儿自身的感觉运动发展而设计的。
Thus, rather than batch processing, the human visual system develops through a systematically ordered curriculum of visual experience designed through the infants' own sensory-motor development.

另外，传统图像通常经常针对人类视觉系统进行编码（最大化保存在固定数据位中的可视信息），这些编码通常称作“伽玛编码”或者“gamma校正”。
Furthermore, traditional images are usually encoded for the human visual system(maximizing the visual information stored in the fixed number of bits), which is usually called gamma encoding or gamma correction.

由于人类视觉系统的特性，高锐度的图像看起来更加清晰，但是实际上锐度的增加并没有提高真正的分辨率。
Due to the nature of the human visual system, an image with higher acutance appears sharper even though an increase in acutance does not increase real resolution.

这个理论全面地解释了人类视觉系统中如lightnessconstancy以及itsspectacularfailures这些对于感知图像非常重要部分的特点。
This theory explains many characteristics of the human visual system such as lightness constancy and its failures(as in the checker shadow illusion), which are important in the perception of images.