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Hand gesture recognition for virtual reality and augmented reality devices

机译:虚拟现实和增强现实设备的手势识别

摘要

A system for hand gesture recognition includes a display, camera, memory, and processor. When the processor is to execute instructions, the processor is to estimate one or more motion vectors of an object using a pair of consecutive frames and estimate an average motion vector of the object. The processor may also estimate an average motion vector of the object, determine a first histogram of optical flow (HOOF) based on the one or more motion vectors and the average motion vector, determine depth values based on motion vectors from the first HOOF, and determine a second histogram of optical flow (HOOF) based on the depth values. The processor is also to obtain a descriptor based on histogram values from a histogram of optical flow (HOOF) of the one or more motion vectors, a shape descriptor, and the average motion vector and classify the descriptor as a gesture.
机译:用于手势识别的系统包括显示器,照相机,存储器和处理器。当处理器要执行指令时,处理器将使用一对连续的帧来估计对象的一个​​或多个运动向量,并且估计对象的平均运动向量。处理器还可估计对象的平均运动矢量,基于一个或多个运动矢量和平均运动矢量确定光流的第一直方图(HOOF),基于来自第一HOOF的运动矢量确定深度值,以及根据深度值确定光流的第二直方图(HOOF)。处理器还基于一个或多个运动向量的光直方图(HOOF),形状描述符和平均运动向量的直方图值,基于直方图值获得描述符,并将该描述符分类为手势。

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