Title :
Comparison and Prospect Study on Multiple Face Detection and Recognition Methods
Author :
Chunfang, Huang ; Ningfang, Wei
Author_Institution :
Dept. of Inf. Eng., Ningbo Dahongying Univ., Ningbo, China
Abstract :
Face detection and recognition is a hot topic in the field of computer science. Lots of scholars have done some research in this regard. Once this technology is mature, it can be applied to many aspects of daily life, especially to some key departments which are relatively dependent on this technology and expect to have a very precise method to detect and recognize. This paper compared and analyzed some common face detection and recognition methods at present and simply studied on the prospect and direction of development. Since each method has its own advantages and disadvantages, it is hard to find a perfect solution in actual application, needing to identify with a variety of methods. Moreover, no matter which method to use, its recognition rate and speed requires to be further improved and perfected.
Keywords :
face recognition; object detection; computer science; face detection method; face recognition method; Databases; Educational institutions; Face; Face detection; Face recognition; Principal component analysis; Shape; Detection; Prospect; Recognition; Technology;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.405