Title :
Automatic face recognition system architecture for collaborative virtual environments
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Abstract :
In a collaborative virtual environment (CVE) participants are represented by icons called avatars. In order to correctly assign these avatars, participants must be identified as they enter, leave and navigate within the CVE. We present an approach and systems architecture for the use of automatic face recognition (AFR) to accomplish the task of participant identification. The requirements for AFR within a CVE are discussed and distinguished from those for general applications of AFR. A face recognition server has been developed to implement these requirements, and is described. The system is implemented in a Java Server Pages environment, using Java Native Interface to interact with individual face recognition algorithms, and interacts with other CVE components using messages in the SOAP protocol format.
Keywords :
Java; access protocols; face recognition; file servers; groupware; software architecture; virtual reality; Java Native Interface; Java Server Pages environment; SOAP protocol format; automatic face recognition system architecture; avatars; collaborative virtual environment; face recognition algorithms; face recognition server; icons; messages; participant identification; Appropriate technology; Avatars; Biometrics; Collaboration; Face recognition; Information technology; Java; Navigation; Speech analysis; Virtual environment;
Conference_Titel :
Haptic Virtual Environments and Their Applications, IEEE International Workshop 2002 HAVE
Print_ISBN :
0-7803-7635-8
DOI :
10.1109/HAVE.2002.1106905