增强现实如何运作?

发布于 2024-09-14 18:40:35 字数 122 浏览 1 评论 0原文

需要一些资源指示来了解增强现实中使用的图像处理。我正在做一个关于图像处理的项目/论文。我个人认为增强现实是最酷的东西。如果有人能够解释或指出解释 AR 图像处理背后所有概念的书籍或网站,我将非常高兴和感激。

谢谢。

Need some pointers to resources for learning about Image processing used in Augmented Reality. I'm doing a project/paper on image processing. I found Augmented Reality personally to be the coolest thing. I'd be very happy and grateful if someone could explain or point to books or web sites which explain all about the concepts behind the Image Processing in AR.

Thank You.

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锦欢 2024-09-21 18:40:36

据我所知,增强现实是一组在平视显示器上生成信息的方法(想想“机械战警”式的显示器)。从算法的角度来看,该领域目前分为两个主要领域:

  • 基于标记的
  • 基于位置的

基于标记增强现实是基于计算机处理现实世界中的人工标记(例如:QR 码、条形码或类似标记)并根据标记所在位置叠加计算机生成的图像。该领域需要计算机完成大量的图像处理任务。理想情况下,计算机将直接识别现实世界的物体,因此不再需要标记,但这仍然是一个需要大量研究的课题。

基于位置的增强现实基于您所在的位置、您指向的位置(如标题)以及感兴趣的对象相对于您的位置。然后,计算机会将图像叠加在收集到的真实世界图像上。除了将生成的图像叠加在相机图像上之外,计算机不需要进行太多的图像处理(几乎不需要)。

当然,有些应用程序是这些技术的混合体。

From what I know augmented reality is a set of methods to generate information on heads-up displays (think "Robocop"-style displays). This field is currently divided into two major areas from an algorithmic standpoint:

  • marker-based
  • positional-based

Marker-based augmented reality is based on the computer processing artificial markers in the real world (examples: QR codes, barcodes, or similar markers) and superimpose computer-generated images based on where the markers are located. This area requires significant image processing tasks done by the computer. Ideally the computer will recognize real-world objects directly and thus the markers are no longer needed, but it is still a topic that requires much research.

Positional-based augmented reality is based on where you are located, where you are pointing to (as in heading), and where are the objects of interest are located relative to you. The computer then will superimpose images on top of the real-world image gathered. The computer doesn't need to do much image processing (almost none at all) except for superimposing the generated image on top of the camera image.

Of course some applications are hybrids of these techniques.

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