Academy of Taiwan Information Systems Research (ATISR)
Abstract:
We propose a simpler and faster method to recognize face. First, we use Kinect
to detect frontal face and get depth image information with face, then we portrayed
face in OpenGL to construct a three-dimensional face model based on the depth
information. The face model also retains texture information of the original face
images, and to create a complete change depth of face. It has a good result of
repairing the distortion in side face. We can get a set face images with different angles
by the method proposed, In recognition part, we use PCA(Principal Component
Analysis) to reduce the dimensions, and classified with SVM(Support Vector
Machine). The experiments show that the side face recognition can have good results.
Relation:
International Conference on Internet Studies (NETs 2015)
