资 源 简 介
Digital Image Processing
ITCS 3134-001
Robairt & Fancy-Pants
Introduction:
Automated human face recognition is a non-trivial computer vision problem of considerable practical significance. It has numerous applications including automated secured access, automatic surveillance, forensic analysis, fast retrieval of records from databases in police departments, automatic identification of patients in hospitals, checking for fraud or identity theft, and human-computer interaction.
For our digital image processing project, we are going design and implement an automated facial recognition system, that will use 2D/RGB algorithms, which have been researched to a fairly modest degree, in combination with more recent 3D/Depth image processing techniques.
For 2D facial recognition, we will compare the following techniques: Eigen vectors, Edge maps (EM), and line EM"s (LEM). Information from the range camera will
文 件 列 表
DIP_project_extras
1-s2.0-S0031320309002684-gr4.jpg
3dfacepaper.pdf
Face Recognition Homepage - Source Codes.html
Face Recognition Homepage - Source Codes_files
Kinect Facial Recognition and Transfer Kinect Hacks.html
Kinect Facial Recognition and Transfer Kinect Hacks_files
LGDV » Publications.html
LGDV » Publications_files
Random Forests for Real Time Head Pose Estimation.html
Random Forests for Real Time Head Pose Estimation_files
cvpr11.pdf
lem-276x276.jpeg
opencv-users - 3D point cloud from Kinect Images.html
opencv-users - 3D point cloud from Kinect Images_files
orts_rpt.pdf
pi_face_tracker - ROS Wiki.html
pi_face_tracker - ROS Wiki_files
render.UserLayoutRootNode.uP.html
render.UserLayoutRootNode.uP_files
sg_ijcv_june10.pdf
thumbs_2747-Eigenfaces.png
