Gravity-Center Template Based Human Face Feature Detection

Authors:
Jun Miao;Wen Gao;Yiqiang Chen;Jie Lu
Affiliations:
-;-;-;-
Venue:
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Year:
2000

Citing 7
Cited 2

Human face profile recognition by computer

Pattern Recognition
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Identification Using Multiple Cues

IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable templates for face recognition

Journal of Cognitive Neuroscience
Locating and extracting the eye in human face images

Pattern Recognition

Facial features detection by coefficient distribution map

CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Vision-Based sign language recognition using sign-wise tied mixture HMM

PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a simple and fast technique for geometrical feature detection of several human face organs such as eyes and mouth. Human face gravity-center template is firstly used for face location, from which position information of face organs such as eyebrows, eyes, nose and mouth are obtained. Then the original image is processed by extracting edges and the regions around the organs are scanned on the edge image to detect out 4 key points which determine the size of the organs. From these key points, eyes and mouth's shape are characterized by fitting curves. The results look well and the procedure is fast.