Computational Photography

This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image.

Computational Photography

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SchoolUdacity
ScheduleOn Demand
LocationOnline
Duration4 months
Credits0
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Difficultyintermediate
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Computational Photography

Please refer to the [course schedule](https://docs.google.com/spreadsheet/pub?key=0AqyqgGWSjCbpdFFqWXJiZ01vNW15UXlwaUtTZE84MWc&output=html) for detailed syllabus set to a suggested timeline for Spring 2015, along with assignment due dates and additional materials. Here is a brief outline of the topics covered: ### Module 1 - Introduction - Introduction - What is Computational Photography - Dual Photography - Panorama - Why Study Computational Photography ### Module 2 - Digital Imaging - What is a Digital Image - Point Processes - Smoothing - Blending Modes - Convolution and Cross-Correlation - Gradients - Edges ### Module 3 - Cameras - Cameras - Lenses - Exposure - Sensor ### Module 4 - Comp Vision to Comp Photo - Fourier Transform - Blending - Pyramids - Cuts - Features ### Module 5 - Applications - Panorama - HDR - Time Lapse - Procam Systems - Mosaics ### Module 6 - Light Field - Lightfield - Lightfield Camera ### Module 7 - Blur / De-Blur - Lucy-Richardon Blur - Flutter Shutter ### Module 8 - Video - Video - Video Textures - Video Stabilization ### Module 9 - Closing Thoughts --- Further resources: - [Spring 2015 course website](https://www.udacity.com/admin/tools/content-editor#!/c-ud955): Course information, assignments, academic policies, grading scheme. - [Piazza forum](https://piazza.com/class/i4fj9alolja61a): Discussions, announcements, clarifications. - [T-Square site](https://t-square.gatech.edu/portal/site/gtc-cd36-2625-55b0-b0e6-d1c0d4eb36af): Assignment submissions.

This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken over the entire term. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation. Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving capturing light to form images. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. New forms of cameras and imaging paradigms will be introduced.


Course provided by: Udacity