Monday, May 7, 2012

Superpixels and dataset from NYU

We we're able to get the superpixels Matlab code working from this site by following this tutorial. We ran it on a sample indoor scene:


We also found a dataset from a research group in NYU of indoor scenes with labeled masks as well as depth-maps obtained from the Kinect. We weren't able to load the data into Matlab yet, probably because it couldn't handle the file size (4 gigs). However, we were able to contact the author Nathan Silberman via email, who graciously offered to split up the data into separate files for us.

The paper corresponding to this dataset made use of SIFT feature detectors, we tested and got running an implementation of SIFT here. We're debating whether or not to include this in our algorithm.

1 comment:

  1. Hey - as far as SIFT goes, 1) is the original 1999 paper where D.G. Lowe introduces the approach, and 2) is a commonly referenced 2004 paper where he goes more in-depth about SIFT. I don't know about HoG though, keep me updated if you find anything :-)

    1) http://www.cs.ubc.ca/~lowe/papers/iccv99.pdf
    2) http://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf

    As a measure of how commonly SIFT is used, according to google scholar the 2004 paper has been cited 13800 times!!

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