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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
This lecturer is just perfect.
Beautiful lecture, easy to Follow important and difficult concepts
This is educational gold.
10:39 wow! Didn't know that!
Great thanks😀
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!