Food Classifier using neural networks- this implem
2016-08-23
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Foodcam Classifier
==================
A Bag Of Visual Words classifier for MIT Media Lab's Foodcam.
Built using OpenCV 2.3
Implementing BOVW method: Visual Categorization with Bags of Keypoints by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004.
Using Opponent-Color SURF features (192 floats): Van de Sande et al., CGIV 2008 Color Descriptors for Object Category Recognition. (they used SIFT)
Radial Basis Function SVMs for classification.
This is basically a primer to BOVW methods using OpenCV, which are dead simple.
I tweaked the basic method by:
- using background subtraction (since these are pictures from a still camera).
- using a sliding window. This enables better multi-class decisions, and actually paves the path to image segmentation.
Compiling
---------
Basically, just run:
==================
A Bag Of Visual Words classifier for MIT Media Lab's Foodcam.
Built using OpenCV 2.3
Implementing BOVW method: Visual Categorization with Bags of Keypoints by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004.
Using Opponent-Color SURF features (192 floats): Van de Sande et al., CGIV 2008 Color Descriptors for Object Category Recognition. (they used SIFT)
Radial Basis Function SVMs for classification.
This is basically a primer to BOVW methods using OpenCV, which are dead simple.
I tweaked the basic method by:
- using background subtraction (since these are pictures from a still camera).
- using a sliding window. This enables better multi-class decisions, and actually paves the path to image segmentation.
Compiling
---------
Basically, just run:
c++
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