Slashdot Mirror
Stanford's New Website Converts Your Photos to 3D
An anonymous reader writes to tell us that Stanford has a new website that not only shows you how cool their new 3-d modeling system is, but actually allows you to give it a try with your own photos. The system can take a 2-d still image and estimate a detailed 3-d structure which you can navigate. "For each small homogeneous patch in the image, we use a Markov Random Field (MRF) to infer a set of "plane parameters" that capture both the 3-d location and 3-d orientation of the patch. The MRF, trained via supervised learning, models both image depth cues as well as the relationships between different parts of the image. Other than assuming that the environment is made up of a number of small planes, our model makes no explicit assumptions about the structure of the scene; this enables the algorithm to capture much more detailed 3-d structure than does prior art (such as Saxena et al., 2005, Delage et al., 2005, and Hoiem et el., 2005), and also give a much richer experience in the 3-d flythroughs created using image-based rendering, even for scenes with significant non-vertical structure."
Damn - I was hoping for someone to upload a picture of a pair of breasts to see how well it worked.
I live in constant fear of the Coming of the Red Spiders.
Dammit, and all this time I've been decrying the impossible magical 3-d photo processing in Blade Runner! Curse my skepticism!
--Tedb0t
Limina.Log
Yep. I wonder if we can get a 3-D image of their server room on fire.
It is not slashdotted. The server crashed after I gave it an image of the impossible triangle.
An anonymous reader writes to tell us that Slashdot has a new website that not only shows you how cool their new hardware melting system is, but actually allows you to give it a try with your own servers.
My 0.02 cents
And what, dear Slashdot reader, would your reference be to see if they look real enough or not?
Bill Clinton: Pimp we can believe in. - The Shirt!!!
Several years ago I worked at a german university where recognizing of human faces was researched. We also did 3D reconstruction of faces, which was useful for training some algorithms. Although the technique is very different, 3D reconstruction from 2D images is not that new. Some examples can still be seen here: link
Other than assuming that the environment is made up of a number of small planes, our model makes no explicit assumptions about the structure of the scene;
Darn. My photos tend to be mostly of helicopters and boats.
Well no matter how bad they look, they'll still look better than mine.
Brian.
I never thought I would see anybody spell /. wrong!
Take off every 'sig' !!
It's not a spelling error. He's obviously a Windows user.
How dare you be so modest!! You conceited bastard!!