Udacity: 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. 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.

Why Take This Course?
You will undertake a hands-on approach over the entire term using computational techniques, merged with digital imaging processes to produce photographic artifacts. In addition to understanding how various elements of the computational photography pipeline function together to produce novel - and sometimes stunning - results, you will be given ample opportunity to appreciate and critique artifacts produced/curated by your peers.


Please refer to the [course schedule]( 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
- 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](!/c-ud955): Course information, assignments, academic policies, grading scheme.
- [Piazza forum]( Discussions, announcements, clarifications.
- [T-Square site]( Assignment submissions.
FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

1 review for Udacity's Computational Photography

Write a review
0 out of 4 people found the following review useful
2 years ago
profile picture
Krzysztof Szarzyński completed this course.
Was this review helpful to you? YES | NO

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free