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Face to Face Communications in Multiplayer Online Games: A Real-Time System

机译:面对脸部通信在多人在线游戏中:一个实时系统

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Multiplayer online games (MOG) bring HCI into a new era of human-human interactions in computer world. Although current MOG provide more interactivity and social interaction in the virtual world, natural facial expression as a key factor in emulating face to face communications has been neglected by game designers. In this work, we propose a real-time automatic system to recognize players’ facial expressions, so that the recognition results can be used to drive the MOG’s “facial expression engine” instead of “text commands”. Our major contributions are the evaluation, improvement and efficient implementation of existing algorithms to build a real-time system that meets the requirements specifically imposed by MOGs. In particular, we use a smaller number of fixed facial landmarks based on our evaluation to reduce the computational load with little degradation of the recognition performance.
机译:多人游戏在线游戏(MOG)将HCI带入计算机世界中人类互动的新时代。虽然目前的MOG在虚拟世界中提供了更多的交互性和社会互动,但是自然面部表情作为模拟面对面通信的关键因素已经被游戏设计师忽略了。在这项工作中,我们提出了一个实时自动系统来识别播放器的面部表情,使得识别结果可用于驱动MOG的“面部表达引擎”而不是“Text命令”。我们的主要贡献是现有算法的评估,改进和高效实施,以建立一个符合沼泽特异性所征收的要求的实时系统。特别是,我们根据我们的评估使用较少数量的固定面部地标,以减少识别性能的降低劣化的计算负荷。

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