First approach to isolate the model : create a simple convex hull from the bones of the skeleton for a rough segmentation
Isolate the model using a simple background segmentation provided by the kinect sdk api. Retrieve the segmentation map and exploit the player ids to cut of the background. git add --all! Need the corrected version of the addon ofxKinectCommonBridge
Quick correction of the exit function
Correction of the pixels update of the segmented image
Added an helper namespace for opencv, with a function to return the image's type as a readable string
First segmentation pipeline for clothes. Need adjustements, use kmeans algorithm randomly
Replaced Kmeans by a simple color segmentation and added a GUI interface to slide on the HSV values
Adding GUI interface for control of morphological operations
Contour discrimination and acquisition from the color segmentation
First generation of a simple point of cloud
Using the ROI for the cloth segmentation and contour detection
Merging with the cloth_color_segmentation
Correct generation of the RAW segmented clothes' point of cloud, optimized with the ROI
Adding a condition on the rendering of the mesh
Generation of a non smoothed polygon mesh on top of the point of cloud with possibility of undersampling
Added surface normals to the mesh generation. Still need corrections for the crashes
Correcting the mesh generation freeze by detecting isolated unknown blobs
Smoothing the depth picture
Enabling smoothing of depth
First try, but the mapping seems incorrect