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.
how would the value of lambda actually used ? Also, is lambda different for each pixel ? I am assuming, for a constant source of light, we note the charges. After N such experiments, We have a distribution of charge values. And we get lambda. for each pixel ??
Just a few years back I talked about a "CCD" to one of my brothers who had worked as an electrical engineer at Micron. I made a comment about the "CCD" in my camera. He gave me all sorts of trouble. "Nobody is using CCDs anymore. They're using CMOS, or maybe ... " and then went into more specifics. So anyway, I appreciate the info for future brother-related use.
Sir, grateful to you for this wonderful series. The amazing clarity with which you explain is a great eye-opener. You have made a complex subject look so easy to discern. I wish you could do a similar series with equal clarity on the soft-subjects such as light, color and composition. Thank you whole-heartedly yet again. Pranam 🙏🙏
I had a question:Given that Bmax is the filling up of a potential well, wouldn't that be based on the material being used as the sensor? Then, how can the amount of exposure time possible for a frame in a video determine a low dynamic range of the sensor?
