MaskBot: Real-time Robotic Projection Mapping with Head Motion Tracking

Miguel Altamirano Cabrera, Igor Usachev, Juan Heredia, Jonathan Tirado, A. Fedoseev, D. Tsetserukou
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引用次数: 1

Abstract

The projection mapping systems on the human face are limited by the process latency and the users’ movement. The area of the projection is restricted by the position of the projectors and cameras. We are introducing MaskBot, a real-time projection mapping system guided by a 6 Degrees of Freedom (DoF) collaborative robot. The collaborative robot locates the projector and camera in front of the user’s face to increase the projection area and reduce the system’s latency. A webcam is used to detect the face orientation and to measure the robot-user distance. Based on this information we modify the projection size and orientation. MaskBot projects different images on the user’s face, such as face modifications, make-up, and logos. In contrast to the existing methods, the presented system is the first that introduces a robotic projection mapping. One of the prospective applications is to acquire a dataset of adversarial images to challenge face detection DNN systems, such as Face ID.
MaskBot:实时机器人投影映射与头部运动跟踪
人脸投影映射系统受到处理延迟和用户移动的限制。投影的面积受投影机和摄像机位置的限制。我们正在推出MaskBot,这是一个由6自由度协作机器人引导的实时投影映射系统。协作机器人将投影仪和摄像头定位在用户脸部前方,以增加投影面积,减少系统延迟。网络摄像头用于检测人脸方向和测量机器人与用户之间的距离。基于这些信息,我们修改投影的大小和方向。MaskBot在用户的脸上投射不同的图像,如脸部修改、化妆和徽标。与现有方法相比,该系统首次引入了机器人投影映射。其中一个有前景的应用是获取对抗图像的数据集,以挑战人脸检测DNN系统,如face ID。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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