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Facial Performance Sensing Head-Mounted Display

机译:面部性能感应头戴式显示器

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There are currently no solutions for enabling direct face-to-facerninteraction between virtual reality (VR) users wearing head-mountedrndisplays (HMDs). The main challenge is that the headset obstructs arnsignificant portion of a user’s face, preventing effective facial capturernwith traditional techniques. To advance virtual reality as a nextgenerationrncommunication platform, we develop a novel HMD thatrnenables 3D facial performance-driven animation in real-time. Ourrnwearable system uses ultra-thin flexible electronic materials that arernmounted on the foam liner of the headset to measure surface strainrnsignals corresponding to upper face expressions. These strain signalsrnare combined with a head-mounted RGB-D camera to enhancernthe tracking in the mouth region and to account for inaccuraternHMD placement. To map the input signals to a 3D face model,rnwe perform a single-instance offline training session for each person.rnFor reusable and accurate online operation, we propose a shortrncalibration step to readjust the Gaussian mixture distribution of thernmapping before each use. The resulting animations are visuallyrnon par with cutting-edge depth sensor-driven facial performancerncapture systems and hence, are suitable for social interactions inrnvirtual worlds.
机译:当前,尚无解决方案可在戴着头戴式显示器(HMD)的虚拟现实(VR)用户之间实现直接的面对面交互。主要挑战在于,头戴式耳机会阻塞用户面部的大部分,从而无法使用传统技术来有效地捕捉面部。为了将虚拟现实作为下一代通信平台发展,我们开发了一种新颖的HMD,可实时实现3D面部性能驱动的动画。我们的可穿戴系统使用超薄的柔性电子材料安装在耳机的泡沫衬垫上,以测量与上脸表情相对应的表面应变信号。这些应变信号与头戴式RGB-D摄像头组合在一起,可以增强对嘴部区域的跟踪并解决HMD放置不正确的问题。要将输入信号映射到3D人脸模型,我们将为每个人执行单实例离线培训课程。为实现可重复使用和准确的在线操作,我们建议使用一个简短的校准步骤,在每次使用前重新调整热成像的高斯混合分布。所产生的动画在视觉上与最先进的深度传感器驱动的面部表情捕获系统不相上下,因此适合在虚拟世界中进行社交互动。

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