RGB-D face recognition under various conditions via 3D constrained local model
NN Kaashki, R Safabakhsh�- Journal of Visual Communication and Image�…, 2018 - Elsevier
This research proposes a method for 3D face recognition in various conditions using 3D
constrained local model (CLM-Z). In this method, a combination of 2D images (RGBs) and
depth images (Ds) captured by Kinect has been used. After detecting the face and
smoothing the depth image, CLM-Z model has been used to model and detect the important
points of the face. These points are described using Histogram of Oriented Gradients (HOG),
Local Binary Patterns (LBP), and 3D Local Binary Patterns (3DLBP). Finally, each face is�…
constrained local model (CLM-Z). In this method, a combination of 2D images (RGBs) and
depth images (Ds) captured by Kinect has been used. After detecting the face and
smoothing the depth image, CLM-Z model has been used to model and detect the important
points of the face. These points are described using Histogram of Oriented Gradients (HOG),
Local Binary Patterns (LBP), and 3D Local Binary Patterns (3DLBP). Finally, each face is�…
Showing the best result for this search. See all results