Showing posts with the label HOG

From feature descriptors to deep learning: 20 years of computer vision

We all know that deep convolutional neural networks have produced some stellar results on object de…

Can you pass the HOGgles test? Inverting and Visualizing Features for Object Detection

Despite more than a decade of incessant research by some of the world's top computer vision res…

One Part Basis to Rule them All: Steerable Part Models

Last week, some of us vision hackers at MIT started an Object Recognition Reading Group.  The group…

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