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CS 448A - Computational photography - Stanford University
- https://graphics.stanford.edu/courses/cs448a-10/
- none
CS 478 - Computational photography
- https://graphics.stanford.edu/courses/cs478/
- Stanford has offered a course on computational photography in even-numbered years since 2004. In the past we've organized the course around whatever techniques were "hot" that year in the research literature. Beginning in 2010, we have started asking the question - what can computational photography do for everyday photographers?
Computational photography at the point of capture on
- https://talks.stanford.edu/dr-marc-levoy-stanford-adobe-computational-photography-at-the-point-of-capture-on-mobile-cameras/
- Marc Levoy is the VMware Founders Professor of Computer Science (Emeritus) at Stanford University and a Vice President and Fellow at Adobe. In previous lives he worked on computer-assisted cartoon animation (1970s), volume rendering (1980s), 3D scanning (1990s), light field imaging (2000s), and computational photography (2010s).
EE367 / CS448I: Computational Imaging - Stanford …
- https://web.stanford.edu/class/ee367/
- Students will learn about computational imaging methods and applications with a focus on solving inverse problems in imaging, such as denoising, deconvolution, single-pixel …
STANFORD TALKS » computational photography
- https://talks.stanford.edu/tag/computational-photography/
- Protected: Dr. Marc Levoy (Stanford, Adobe): “Computational photography at the point of capture on mobile cameras” Sunday, April 3rd, 2022. Tags: computational photography, mobile cameras Posted in Engineering, SCIEN, SCIEN Colloquia 2020, SCIEN Colloquium, Video
Stanford hosts International Conference on Computational …
- https://ee-archive.stanford.edu/news/department-news/06-08-2017/stanford-hosts-international-conference-computational-photography
- By Julie Chang, PhD candidateThe seventh annual IEEE International Conference on Computational Photography (ICCP) was hosted at Stanford University on May 12-14, 2017. Over 200 students, post-docs, professors, and entrepreneurs from around the world came together to discuss their research in this area.
Light fields and computational photography - Stanford …
- https://www-graphics.stanford.edu/projects/lightfield/lightfield.html
- reflectance fields. At Stanford, we have focused on the boundary between light fields, photography, and high-performance imaging, an area we sometimes call (A workshopon this theme was held at MIT in May of 2005.) computational photography has grown to become broader than light fields, and
CS 178 - Digital Photography - Stanford University
- https://graphics.stanford.edu/courses/cs178/
- CS 178 - Digital Photography (Spring 2014) What's inside a digital camera? This is a cutaway view of the Canon Digital Rebel 1000D. Here's a more instructive diagram, showing the main optical paths. We'll take apart a camera in class. Most photography books talk about depth of field and depth of focus, but few of them give a formula for it.
Camera 2.0 - Stanford University
- https://graphics.stanford.edu/projects/camera-2.0/
- The Stanford Frankencamera. Despite these encouraging trends, there are computational photography experiments that cannot be implemented on today's cell phones. either because the cameras' sensor or optics aren't good enough, the computing resources aren't powerful enough, or the APIs connecting the camera to the computing are too restrictive.
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