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Stanford University Computational Photography

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


CS 448A - Computational photography - Stanford University

    https://graphics.stanford.edu/courses/cs448a-10/
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Computational photography at the point of capture

    https://talks.stanford.edu/dr-marc-levoy-stanford-adobe-computational-photography-at-the-point-of-capture-on-mobile-cameras/
    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). At Stanford he taught computer graphics, digital photography, and the science of art. At Google he launched Street View, co-designed the library book scanner, and …

EE367 / CS448I: Computational Imaging - Stanford …

    https://web.stanford.edu/class/ee367/
    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, …

Light fields and computational photography - Stanford …

    https://graphics.stanford.edu/projects/lightfield/
    Light fields and computational photography Marc Levoy has retired from Stanford University to lead a team at Google. This project is no longer active as a Stanford research project. However, many of the technologies developed during this …

STANFORD TALKS » computational photography

    https://talks.stanford.edu/tag/computational-photography/
    Protected: Professor Michael Brown (York University, Canada): “Rethinking the Camera Pipeline to Improve Photographic and Scientific Applications” (04/06/2022) Protected: Dr. Marc Levoy (Stanford, Adobe): “Computational photography at the point of …

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 - Computer Graphics at Stanford University

    https://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 lecture material will …

Experimental Platforms for Computational Photography

    http://scroll.stanford.edu/papers/camera20/
    Stanford University IEEE Computer Graphics and Applications Vol. 30, No. 5, September/October, 2010, pp. 81-87 Abstract. Although interest in computational photography has steadily increased among graphics and vision researchers, few of these techniques have found their way into commercial cameras. In this article I offer several possible ...

Visual Computing Graduate Program | Stanford Online

    https://online.stanford.edu/programs/visual-computing-graduate-program
    Visual computing is an emerging discipline that combines computer graphics and computer vision to advance technologies for the capture, processing, display and perception of visual information. The courses for this program teach fundamentals of image capture, computer vision, computer graphics and human vision. Several of the courses offer hands-on experience …

Marc Levoy's Home Page

    http://www.graphics.stanford.edu/~levoy/
    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).

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