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human visual system

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人类的视觉系统
人类视觉系统
人眼视觉特性
The human visual system - eyes plus brain - automatically "interprets" the colour of light we see.
人类的视觉系统,即肉眼和大脑将自动"解码"所看到的光线颜色。
The duo then attempted to mimic how the human visual system might be processing these images by adding a set of filters to their model designed to detect these features.
两位科学家随后通过在他们用于探测这些特征的模型上放置一组滤镜,来尝试模仿人类的视觉系统会如何处理这些图像。
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.
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 "。
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.
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。
Visualization leverages the human visual system to augment human intellect: we can use it to better understand these important abstract processes, and perhaps other things, too.
可视化利用人类的视觉系统,以增加人类的智慧。这样,我们就可以用它来更好地了解这些重要的抽象过程以及其他事情。
The human visual system is remarkably tolerant to degradation in image resolution:human performance in scene categorization remains high no matter whether low-resolution images or multimegapixel images are used.
人类的视觉系统明显耐受图像分辨率的降低:不管是否采用低分辨率图像或多兆像素的图像,人类在场景分类上的表现依旧很好。
Automatic threshold choice is difficult and important to color images edge detection, First of all, on the base of human visual properties, threshold versus intensity function of human visual system are researched and analyzed, using method of mathematic modeling and the result of saturation research, function of least color difference that can perceptible visual systems in detecting edge is given.
摘要自动阀值选取是彩色图像边缘检测的难点和关键问题,首先从人类的视觉特性出发,分析了人类视觉系统的亮度感知门限函数,利用数学建模方法和色度学方面的研究成果,给出人类视觉系统对彩色图像边缘所能识别的最小彩色差函数。
Edge detection is done in sRGB (not linear) color space to better detect edges that the human visual system is more likely to observe in a scene.
边缘检测在 sRGB(非线性)色彩空间中实施,以更好地检测人类视觉系统更可能观察到的场景边缘。
Relative brightness sensitivity of the human visual system as a function of wavelength
人视觉系统的相对光亮敏感度,作为波长的函数。
The undecimated contourlet transform conforms well to the human visual system and its frequency plane partition resembles cortex transform.
非抽样轮廓波变换具有与视皮层变换相似的频带划分,符合人眼视觉特性。
So, from the perspective of engineering, we can ask: Goven that we know that motion is so important for the human visual system, can we use this as a recipe for constructing machine-based vision systems that can learn on their own, that don't need to be programmed by a human programmer?
那么,从工程学的角度来看 我们可能会问,了解了 动态对人类视觉行程是如此的重要 能不能用这个配方 来搭建机器人视觉系统? 使它自己学习,都不用程序操纵 和人的协助
This section provides you with a series of articles containing the background knowledge needed to understand eye tracking research. Among other topics, you'll learn about our eye tracking technology, the human visual system and how we process and select visual information.
该板块为您提供了一系列开展眼动追踪研究所必须的知识库文章,您将在阅读这些主题丰富的文章时了解我们的眼动追踪技术、人类的视觉机制以及我们对视觉信息的选择和加工方式。
As the human visual system uses both size and perspective cues to judge the relative sizes of objects, seeing a perspective change without a size change is a highly unsettling effect, often with strong emotional impact. The effect was first conceived by Romanian cinematographer Sergiu Huzum, but was first used by Irmin Roberts, a Paramount second-unit cameraman, in Alfred Hitchcock's film Vertigo.
人类的视觉感知系统同时用直观大小和透视关系来判断物体的相对大小。 因此,看到透视关系改变,而直观大小不变,会给人带来不安感,产生强烈的情感效果。 滑动变焦最初是由罗马尼亚 摄像师Sergiu Huzum提出的,但第一次使用这种特效的是Irmin Roberts。
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