一种用于电子设备手势控制的新型近红外相机

D. Ionescu, V. Suse, C. Gadea, B. Solomon, B. Ionescu, S. Islam
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引用次数: 1

摘要

自从在电子游戏技术中引入手势控制技术以来,已经进行了一系列尝试,将其部署到其他领域,如机器人、教学、医疗、汽车等。用于人机交互的人类手势变得有吸引力,因为它提供了一种更简单的方式来控制复杂的设备,在类似科幻的场景中,作为对人工智能算法所需的日益增长的计算能力的回报,人工智能算法需要检测、跟踪和识别它们。已经有人尝试通过使用基于2D或3D的图像处理方法来解决这个问题。在消费产品中有一种明显的平衡倾向于3D方法,因为除了产生强大和稳定的结果几乎无法克服的困难之外,价格限制增加了补充障碍。由于良好的照明条件是获得上述结果的核心因素,因此红外光被领域技术一致采用。本文介绍了一种新的红外深度映射相机的实时深度映射原理和相应的硬件解决方案。新的红外相机结构包括一个照明模块,该模块通过一个单调函数进行脉冲和调制,使用锁相环控制激光强度,而反射的红外光在单调函数的增减过程中被捕获。可重构硬件架构(RHA)单元计算深度并与红外传感器同步控制红外波。深度图的分辨率是可变的,取决于图像传感器的分辨率和门控可能性。使用100万像素的传感器,分辨率为1024×1024。基于RHA控制的激光获得的数据,重建真实物体的三维图像。相应的图像处理算法实时构建物体的三维地图。在本文中,相机是用来控制消费类电子产品,如电视机,笔记本电脑等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new NIR camera for gesture control of electronic devices
Since the introduction Gesture Control technology in the electronic gaming technology a series of attempts have been made to deploy it also on other domains such as robotics, teaching, medical, automotive and many others. Human gesture used for Man-Machine Interaction became attractive as it offers a simpler way of controlling sophisticated devices, in a sci-fi-like scenario, in return of an increasingly computational power required by the artificial intelligence algorithms needed to detect, track and recognize them. There have been attempts to bring a solution to it by using 2D or 3D based image processing methods. There is a clear balance incline towards 3D methods in the consumer product as besides the almost insurmountable difficulties for producing robust and stable results, the price constraint added supplementary hurdles. As perfect illumination conditions are core factors in obtaining the above results, the infrared light was unanimously adopted by the domain technologies. In this paper, a novel real-time depth-mapping principle and a corresponding hardware solution for an IR depth-mapping camera is introduced. The new IR camera architecture comprises an illuminator module which is pulsed and modulated via a monotonic function using a phase-locked loop control for the laser intensity, while the reflected infrared light is captured during the increasing and decreasing monotonic function. A reconfigurable hardware architecture (RHA) unit calculates the depth and controls the IR waves in synchronism with the infrared sensor. The resolution of the depth map is variable depending on the resolution and gating possibilities of the image sensor. A sensor of 1 megapixel is used, providing a resolution of 1024×1024. Images of real objects are reconstructed in 3D based on the data obtained by the laser controlled by the RHA. A corresponding image processing algorithm builds the 3D map of the object in real-time. In this paper the camera is used to control consumer electronic products such as TV sets, laptops and others.
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