开源软件名称(OpenSource Name):MITComputationalCamera/LightFields开源软件地址(OpenSource Url):https://github.com/MITComputationalCamera/LightFields开源编程语言(OpenSource Language):MATLAB 100.0%开源软件介绍(OpenSource Introduction):LightField PhotographyPlease read the Lightfield Camera papers very carefully. http://graphics.stanford.edu/papers/CameraArray/ Digital refocusing using photos taken by an array of cameras is easy. If you compute an average of all the photos, the digital focus is at infinity. If you shift each photo cumulatively, e.g. shift each photo a pixel with respect to its immediate left neighbor, and then compute an average, the focus plane is closer. This simple shift+add strategy is sufficient to achieve reasonable refocusing effects. Homework AssignmentFor this assignment, you will be showing refocussing and see-thru effects by using multiple image lightfields. See examples at http://lightfield.stanford.edu/lfs.html (click on 'View Lightfield Online') http://lightfield.stanford.edu/aperture.html (a) To start and test the code provided, you can use the photos from: http://web.media.mit.edu/~gordonw/SyntheticLightFields/DragonAndBunnies_camera.zip as input. Use only images along the horizontal translation. You will test your code on this dataset. (b) For the assignment, you will use your own images. Translate a camera and take photos at fixed distance intervals (try 5-7 photos). Place the camera on a ruler for precise positioning. You are trying to imitate a camera array. You will be doing all of this in MATLAB. Be sure to use high depth complexity, colorful, point specular (spherical) objects in your images. Be creative with camera configurations, maybe with very large baseline or with a microscope. You can also use unstrcutured positions and use a calibration target (or structure from motion or photosynth software) to find the positions. (More projects http://graphics.stanford.edu/projects/lightfield/ ) TasksPlease modify and execute the code hosted above. You will NOT need to write huge blocks of code. Simply tweak the existing code as you see fit to perform the tasks below. Part 1: Programmable focus and with your OWN images (60 pts): Using the attached MATLAB code, compute images with planes of focus at different depths (shift each photo by a specific amount successively and compute an average).
Part 2: OPTIONAL Extra Credit (+8pts)
Part 3: OPTIONAL Additional Extra Credit (+2 each)
SubmissionMIT/Skoltech Students: Submit all output for each part above on Stellar (Label the file with the "Part" number, e.g. Part1a, Part1b, etc.). Also post your final images to the FB page. Online Students: Post your final images to the FB Page |
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