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Computational Photography Stanford

Interested in photography? At kaitphotography.com.au you will find all the information about Computational Photography Stanford and much more about photography.


CS 448A - Computational photography - Stanford University

    https://graphics.stanford.edu/courses/cs448a-10/
    none

CS 478 - Computational photography

    https://graphics.stanford.edu/courses/cs478/
    Jongmin Baek, Dave Jacobs , Kari Pulli (Guest Lecturer) Staff e-mail. [email protected]. Office hours. Wed 3:45 - 5:00, Thurs 2:30 - 3:45, Gates 360. Prerequisite. An introductory course in graphics or vision, or CS 178; good programming skills.

CS 448A - Computational photography - Stanford University

    https://graphics.stanford.edu/courses/cs448a-10/schedule.html
    Schedule of lectures and assignments. Tue, Jan 5. Introduction (*) (Marc) Taxonomy of the computational photography literature, open-source cameras and the Stanford Camera 2.0 project, the Stanford Frankencamera. Dark side of the lens. Thu, Jan 7.

EE367 / CS448I: Computational Imaging - Stanford …

    https://web.stanford.edu/class/ee367/
    Course Description. Computational imaging systems have a wide range of applications in consumer electronics, scientific imaging, HCI, medical imaging, microscopy, and remote sensing. We discuss digital photography and basic image processing, convolutional neural networks for image processing, denoising, deconvolution, single pixel imaging ...

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).

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.

Camera 2.0: New computing platforms for computational …

    http://www.graphics.stanford.edu/projects/camera-2.0/
    If so, then we want to talk to you. We are currently assembling packages to help teach computational photography at the university level. Each package will consist of 20-30 lectures on computational photography written by Marc Levoy (Stanford) and Fredo Durand (MIT), a box containing 10 Nokia N900 smartphones, and one Frankencamera F3. The ...

Light fields and computational photography - Stanford …

    https://www-graphics.stanford.edu/projects/lightfield/lightfield.html
    A (new) archive of light fields, several of which were captured using the Stanford Multi-Camera Array. ImageStack, an ever-growing, command-line-driven, package of image processing and computational photography algorithms Publicity about the project About the refocusable camera Der Spiegel Online (October 31, 2005) Stanford Report (November 3)

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.

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