<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hanheide, Marc</style></author><author><style face="normal" font="default" size="100%">Sebastian Wrede</style></author><author><style face="normal" font="default" size="100%">Christian Lang</style></author><author><style face="normal" font="default" size="100%">Gerhard Sagerer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Who am I talking with? A Face Memory for Social Robots</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE International Conference on Robotics and Automation</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CoR-Lab Publication</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Pasadena, CA, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In order to provide personalized services and to develop human-like interaction capabilities robots need to recognize their human partner. Face recognition has been studied in the past decade exhaustively in the context of security systems and with significant progress on huge datasets. However, these capabilities are not in focus when it comes to social interaction situations. Humans are able to remember people seen for a short moment in time and apply this knowledge directly in their engagement in conversation. In order to equip a robot with capabilities to recall human interlocutors and to provide user-aware services, we adopt human-human interaction schemes to propose a face memory on the basis of active appearance models integrated with the active memory architecture. This paper presents the concept of the interactive face memory, the applied recognition algorithms, and their embedding into the robot&amp;rsquo;s system architecture. Performance measures are discussed for general face databases as well as scenario-specific datasets.&lt;/p&gt;</style></abstract></record></records></xml>