Feature-Level Fusion with Incomplete Data for Automatic Person Identification. This research addresses the current key problems in automated person recognition with incomplete data using multiple traits. The outcomes of this research will not only make a significant contribution to fundamental theory but also result in a wide range of crime and terrorism preventing applications including police database searching, access control, security monitoring and surveillance. They can be used either by p ....Feature-Level Fusion with Incomplete Data for Automatic Person Identification. This research addresses the current key problems in automated person recognition with incomplete data using multiple traits. The outcomes of this research will not only make a significant contribution to fundamental theory but also result in a wide range of crime and terrorism preventing applications including police database searching, access control, security monitoring and surveillance. They can be used either by police and law enforcement agencies, or at places of airport, government buildings, military facilities and even sensitive areas in offices and factories. It will help reduce crime, enhance the security of the nation to a world-advanced level, and generate new industry and export opportunities for Australian security industry.Read moreRead less
Face recognition under varying pose and lighting--towards automatic personal identification for surveillance systems. One of the key remaining problems in computerized human face recognition is the need to handle the variability in appearance due to changes in pose. This proposed research targets at identifying a person with a face image in a pose different from the example view by using a novel texture analysis and synthesis technique. This technique makes use of facial textures at different vi ....Face recognition under varying pose and lighting--towards automatic personal identification for surveillance systems. One of the key remaining problems in computerized human face recognition is the need to handle the variability in appearance due to changes in pose. This proposed research targets at identifying a person with a face image in a pose different from the example view by using a novel texture analysis and synthesis technique. This technique makes use of facial textures at different viewing directions and can recover appropriate textures for virtual views in arbitrary poses. The successfulness of the proposed research would make a technical breakthrough towards solving the major remaining problem in face recognition.Read moreRead less
Special Research Initiatives - Grant ID: SR0567506
Funder
Australian Research Council
Funding Amount
$70,000.00
Summary
Peer-to-Peer collaborative research network for sharing and managing digital legal information. The aim of this project is to develop a collaborative research network using P2P technology to allow research across multiple disciplines for an open exchange of information. Current P2P technology only supports general information sharing. This research will investigate how to use P2P technology to incorporate digital rights management and network authentication, and to facilitate existing open acces ....Peer-to-Peer collaborative research network for sharing and managing digital legal information. The aim of this project is to develop a collaborative research network using P2P technology to allow research across multiple disciplines for an open exchange of information. Current P2P technology only supports general information sharing. This research will investigate how to use P2P technology to incorporate digital rights management and network authentication, and to facilitate existing open access initiatives, traditional scholarly publishing models and emerging research practices. The collaborations between IT and legal industry will be established and expanded significantly in the scope of e-research for sharing legal resources. A P2P prototype will be developed to facilitate legal users and applications.Read moreRead less