15-463: Rendering and Image Processing Alexei Efros

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15-463: Rendering and Image Processing Alexei Efros Image Stacks 15-463: Rendering and Image Processing Alexei Efros

Announcements SINGLE IMAGE STUFF MID-TERM We are now done with the first part of the course, broadly defined as: SINGLE IMAGE STUFF Now, we are ready to move on, but first… MID-TERM Week from today: Thursday, Oct 21, in class Will take about an hour Closed books, closed notes, one double-sided “cheat-sheet” allowed Covers everything up to this point Review on Tuesday (bring questions!)

The story so far… Figure by Leonard McMillan So far, we dealt with but a little part of our Flenoptic Function: A pencil of rays through one point At one instance in time A 2D snapshot, an instantaneous image of the world We have been frozen in space-time, with no way to get out… …now we are reading to break out of 3D

And enter the real world! Breaking out of 2D …now we are ready to break out of 2D And enter the real world!

All rays are not equal Suporn’s panorama

Recovering structure Q: What must we do to uncover the structure of the world? A: Move! in space and/or in time Not 2D anymore!

“Smoke” (1996), the “photo album scene”

Moving in Time Moving only in time, while not moving in space, has many advantages No need to find correspondences Can look at how each ray changes over time In science, always good to change just one variable at a time This approach has always interested artists (e.g. Monet) Modern surveillance video camera is a great source of information There are now many such WebCams now, some running for several years!

Image Stack 255 time t As can look at video data as a spatio-temporal volume If camera is stationary, each line through time corresponds to a single ray in space We can look at how each ray behaves What are interesting things to ask?

Average Image Compute the average value of each pixel What will it do?