iRepository at Perpustakaan UniMAP >
UNIVERSITY LIBRARY >
Conference Papers >
Please use this identifier to cite or link to this item:
|Title: ||Human faces: a review from detection to recognition|
|Authors: ||Mohamed Rizon, Mohamed Juhari|
P. L. EhKan
|Keywords: ||Face recognition;Face detection;Computer vision;Recognition system;Face emotion;Image processing|
|Issue Date: ||14-May-2005|
|Publisher: ||Kolej Universiti Kejuruteraan Utara Malaysia|
|Series/Report no.: ||Proceedings of the 1st International Workshop on Artificial Life and Robotics|
|Abstract: ||In this paper, we review researches on human faces from aspect of face recognition
and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine learning research. We can identify the age, gender, and ethnic origin from faces. Face recognition systems are divided into the holistic approach and the analytic approach. The holistic approach treats a human face as 2D pattern of intensity variation. The analytic approach recognizes a human face using the geometrical
measurements taken among facial features, such as eye and mouth. The face emotions are
applied in robot to helf patients, senior citizens and disable people. Some time the robots are known as welfare robot. The face emotions are recognized using features such as eye, eye brow and mouth. These features play a vital role in emotion recognition. Face detection is a crucial step for face recognition and previously reported is classified into two groups: algorithms for
detecting human faces in intensity images and algorithms for detecting human faces in color images.|
|Description: ||Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.|
|Appears in Collections:||Conference Papers|
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Sazali Yaacob, Prof. Dr.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.