This is a repo for superpixel research. It contains 4 module; they are algorithms, applications, evaluation and features.
This module contains most of superpixel segmentation algorithms, such as SLIC, Turbopixel, Watershed, and so on, whose code are public avaible.
This module focuse some computer vision application based on superpixels, such as object recognition, surface rescontruction, and so on.
This module conatins a superpixel benchmark. There are 13 metrics for superpixel evaluation.
Superpixel feature extraction is important for computer vision application, we build a standalone feature extraction module which contain common superpixel feature extract algorithms, such as SIFT, HOG.