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Depth of Field | Image Formation

First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.

Пікірлер: 6

  • @shmigal
    @shmigal Жыл бұрын

    This lecturer is just perfect.

  • @coolwijaya
    @coolwijaya2 ай бұрын

    Beautiful lecture, easy to Follow important and difficult concepts

  • @sirBumpyCase
    @sirBumpyCase2 ай бұрын

    This is educational gold.

  • @RGBguy
    @RGBguy2 жыл бұрын

    10:39 wow! Didn't know that!

  • @narendraparmar1631
    @narendraparmar1631 Жыл бұрын

    Great thanks😀

  • @theexile3639
    @theexile36392 жыл бұрын

    I want to clarify the situation at 6:50 in terms of hyperfocal distance. When we calculate the hyperfocal distance (h) for 6:50, I am assuming the pixel size (c) is 1 mm, it turns out that h = 1.3 meters. So, does this mean that if the camera was focused at 1.3 meters, then the two back images will always be in focus? Thanks in advance!