neuroscience - http://archive.pkmital.com https://archive.pkmital.com computational audiovisual augmented reality research Thu, 08 Jan 2015 05:38:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 Real-Time Object Recognition with ofxCaffe https://archive.pkmital.com/2015/01/04/real-time-object-recognition-with-ofxcaffe/ https://archive.pkmital.com/2015/01/04/real-time-object-recognition-with-ofxcaffe/#comments Sun, 04 Jan 2015 03:53:48 +0000 http://pkmital.com/home/?p=1764 Screen Shot 2015-01-03 at 12.57.23 PM

I’ve spent a little time with Caffe over the holiday break to try and understand how it might work in the context of real-time visualization/object recognition in more natural scenes/videos. Right now, I’ve implemented the following Deep Convolution Networks using the 1280×720 resolution webcamera on my 2014 Macbook Pro:

The above image depicts the output from an 8×8 grid detection showing brighter regions as higher probabilities of the class “snorkel” (automatically selected by the network from 1000 possible classes as the highest probability).

So far I have spent some time understanding how Caffe keeps each layer’s data during a forward/backward pass, and how the deeper layers could be “visualized” in a … Continue reading...

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Extracting Automatically Labeled Volumetric ROIs from MRI https://archive.pkmital.com/2014/05/22/extracting-automatically-labeled-volumetric-rois-from-mri/ https://archive.pkmital.com/2014/05/22/extracting-automatically-labeled-volumetric-rois-from-mri/#respond Thu, 22 May 2014 22:29:50 +0000 http://pkmital.com/home/?p=1658 Performing a region of interest analysis on MRI requires knowing where the regions are in your subject data. Typically, this has been done using hand-drawn masks in a 3d viewer. However, recent research has made the process mostly automatic and the open-source community has implemented everything you will need to automatically create labeled volumetric regions of interest [1-3]. With FreeSurfer 5.3, we have the option of performing cortical parcellation using 4 different atlases:

Destrieux atlas: aparc.a2009s
Desikan-Killiany atlas: aparc
Mindboggle: aparc.DKTatlas40
Brodman areas: BA and BA.thresh

We’ll first use freesurfer’s recon-all tool to perform a cortical reconstruction of our anatomical scans. Download freesurfer and register your copy. You’ll be sent an e-mail with a license. Follow the instructions and create the license file “.license” inside your freesurfer home directory (check the environment variable, FREESURFER_HOME, e.g., “$ echo $FREESURFER_HOME"). Then run the script, “$FREESURFER_HOME/FreeSurferEnv.sh” to setup necessary paths.

Next make sure you have set the environment variable for SUBJECTS_DIR to where you’d like your analysis to go (e.g., “$ export SUBJECTS_DIR=/some/directory“). For our example, we’ll keep this to a directory called “freesurfer” in our home directory, “~/”. Each subject we analyze will have its own folder insider … Continue reading...

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